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For simple settings like theme/model, suggest the /config command.\n- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. Examples: \"rebind ctrl+s\", \"add a chord shortcut\", \"change the submit key\", \"customize keybindings\".\n- simplify: Review changed code for reuse, quality, and efficiency, then fix any issues found.\n- fewer-permission-prompts: Scan your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.\n- loop: Run a prompt or slash command on a recurring interval (e.g. /loop 5m /foo, defaults to 10m) - When the user wants to set up a recurring task, poll for status, or run something repeatedly on an interval (e.g. \"check the deploy every 5 minutes\", \"keep running /babysit-prs\"). Do NOT invoke for one-off tasks.\n- schedule: Create, update, list, or run scheduled remote agents (routines) that execute on a cron schedule. - When the user wants to schedule a recurring remote agent, set up automated tasks, create a cron job for Claude Code, or manage their scheduled agents/routines. Also use when the user wants a one-time scheduled run (\"run this once at 3pm\", \"remind me to check X tomorrow\").\n- claude-api: Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements).\nTRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a Claude feature (caching, thinking, compaction, tool use, batch, files, citations, memory) or model (Opus/Sonnet/Haiku) in a file; questions about prompt caching / cache hit rate in an Anthropic SDK project.\nSKIP: file imports `openai`/other-provider SDK, filename like `*-openai.py`/`*-generic.py`, provider-neutral code, general programming/ML.\n- agent-browser: Browse the web for any task — research topics, read articles, interact with web apps, fill forms, take screenshots, extract data, and test web pages. Use whenever a browser would be useful, not just when the user explicitly asks.\n- frontend-engineer: Pro frontend engineering discipline. Enforces build-test-verify workflow for every web project. Never declare done until the site is built, tested, responsive, accessible, and visually verified in a real browser. Use alongside vercel-cli for production-quality deployments.\n- whatsapp-formatting: Format messages for WhatsApp, including mentions that render as real WhatsApp tags. Use when responding in a WhatsApp conversation (platform_id / chatJid ends with @s.whatsapp.net or @g.us).\n- vercel-cli: Deploy apps to Vercel. Use when asked to deploy, ship, or publish a web application, or manage Vercel projects, domains, and environment variables.\n- slack-formatting: Format messages for Slack using mrkdwn syntax. Use when responding to Slack channels (folder starts with \"slack_\" or JID contains slack identifiers).\n- welcome: Introduce yourself to a newly connected channel. Triggered automatically when a channel is first wired. Send a friendly greeting and brief overview of what you can do.\n- self-customize: Customize your own agent — add capabilities, install packages, add MCP servers, edit code or CLAUDE.md. Use when the user asks you to add a feature, install a tool, or modify how you work. For non-trivial code changes, delegate to a builder agent via create_agent.\n- onecli-gateway: OneCLI Gateway: transparent HTTPS proxy that injects stored credentials into outbound calls. You MUST use this skill when the user asks you to read emails, check calendar, access GitHub repos, create issues, check Stripe payments, or interact with ANY external service or API. Do NOT use browser extensions or OAuth CLI tools. 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{"type":"ai-title","aiTitle":"Check project status and verify fixes","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
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{"parentUuid":"5eb93fb5-fdb7-4639-8664-cc5b7151e7a8","isSidechain":false,"promptId":"67496e4d-3ce9-4838-a9de-8a1015ea2d01","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PVn5mR9GR9QQ9AcDfPN7Ro","type":"tool_result","content":"total 540\n-rw-r--r-- 1 501 dialout 59781 Jul 7 09:13 2026-07-07-conversation-0913.md\n-rw-r--r-- 1 501 dialout 49792 Jul 6 11:09 2026-07-06-conversation-1109.md\n-rw-r--r-- 1 501 dialout 24968 Jun 10 18:45 2026-06-10-conversation-1845.md\n-rw-r--r-- 1 501 dialout 29568 Jun 9 09:24 2026-06-09-conversation-0924.md\n{\n \"mcpServers\": {\n \"twitter-x\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"@getxapi/mcp@latest\"\n ],\n \"env\": {\n \"GETXAPI_KEY\": \"onecli-managed\",\n \"X_AUTH_TOKEN\": \"onecli-managed\"\n }\n },\n \"instagram\": {\n \"command\": \"npx\",\n \"args\": [\n \"instagram-engagement-mcp\"\n ],\n \"env\": {\n \"INSTAGRAM_USERNAME\": \"onecli-managed\",\n \"INSTAGRAM_PASSWORD\": \"onecli-managed\"\n }\n },\n \"rss-feeds\": {\n \"command\": \"pnpm\",\n \"args\": [\n \"dlx\",\n \"simply-feed-mcp\"\n ],\n \"env\": {}\n }\n },\n \"packages\": {\n \"apt\": [\n \"yt-dlp\",\n \"python3-pip\"\n ],\n \"npm\": []\n },\n \"imageTag\": \"nanoclaw-agent-v2-c307bb66:ag-1779666729747-9n7kga\",\n \"additionalMounts\": [\n {\n \"hostPath\": \"/Users/jameslopez/projects/second-brain\",\n \"containerPath\": \"second-brain\",\n \"readonly\": false\n },\n {\n \"hostPath\": \"/Users/jameslopez/projects\",\n \"containerPath\": \"projects\",\n \"readonly\": false\n },\n {\n \"hostPath\": \"/Users/jameslopez/.gemini\",\n \"containerPath\": \"gemini-creds\",\n \"readonly\": true\n }\n ],\n \"skills\": \"all\",\n \"provider\": \"gemini-openai-claude\",\n \"groupName\": \"Nano\",\n \"assistantName\": \"Nano\",\n \"agentGroupId\": \"ag-1779666729747-9n7kga\"\n}","is_error":false}]},"uuid":"80b3534f-b52a-426b-9ffa-549923895415","timestamp":"2026-07-07T14:54:43.731Z","toolUseResult":{"stdout":"total 540\n-rw-r--r-- 1 501 dialout 59781 Jul 7 09:13 2026-07-07-conversation-0913.md\n-rw-r--r-- 1 501 dialout 49792 Jul 6 11:09 2026-07-06-conversation-1109.md\n-rw-r--r-- 1 501 dialout 24968 Jun 10 18:45 2026-06-10-conversation-1845.md\n-rw-r--r-- 1 501 dialout 29568 Jun 9 09:24 2026-06-09-conversation-0924.md\n{\n \"mcpServers\": {\n \"twitter-x\": {\n \"command\": \"npx\",\n \"args\": [\n \"-y\",\n \"@getxapi/mcp@latest\"\n ],\n \"env\": {\n \"GETXAPI_KEY\": \"onecli-managed\",\n \"X_AUTH_TOKEN\": \"onecli-managed\"\n }\n },\n \"instagram\": {\n \"command\": \"npx\",\n \"args\": [\n \"instagram-engagement-mcp\"\n ],\n \"env\": {\n \"INSTAGRAM_USERNAME\": \"onecli-managed\",\n \"INSTAGRAM_PASSWORD\": \"onecli-managed\"\n }\n },\n \"rss-feeds\": {\n \"command\": \"pnpm\",\n \"args\": [\n \"dlx\",\n \"simply-feed-mcp\"\n ],\n \"env\": {}\n }\n },\n \"packages\": {\n \"apt\": [\n \"yt-dlp\",\n \"python3-pip\"\n ],\n \"npm\": []\n },\n \"imageTag\": \"nanoclaw-agent-v2-c307bb66:ag-1779666729747-9n7kga\",\n \"additionalMounts\": [\n {\n \"hostPath\": \"/Users/jameslopez/projects/second-brain\",\n \"containerPath\": \"second-brain\",\n \"readonly\": false\n },\n {\n \"hostPath\": \"/Users/jameslopez/projects\",\n \"containerPath\": \"projects\",\n \"readonly\": false\n },\n {\n \"hostPath\": \"/Users/jameslopez/.gemini\",\n \"containerPath\": \"gemini-creds\",\n \"readonly\": true\n }\n ],\n \"skills\": \"all\",\n \"provider\": \"gemini-openai-claude\",\n \"groupName\": \"Nano\",\n \"assistantName\": \"Nano\",\n \"agentGroupId\": \"ag-1779666729747-9n7kga\"\n}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"5eb93fb5-fdb7-4639-8664-cc5b7151e7a8","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"80b3534f-b52a-426b-9ffa-549923895415","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcntYfC6JqbRBwwKanM9J","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GNKaRNZsGBAbqdcWzNAisX","name":"Bash","input":{"command":"tail -100 /workspace/agent/conversations/2026-07-07-conversation-0913.md","description":"Check the end of today's earlier conversation for context"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":785,"cache_read_input_tokens":32116,"output_tokens":101,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":785},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":101,"cache_read_input_tokens":32116,"cache_creation_input_tokens":785,"cache_creation":{"ephemeral_5m_input_tokens":785,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcntYeg68NiQipc3USnb5","type":"assistant","uuid":"07ac8365-a34c-4613-b029-5eaf32d8b7ba","timestamp":"2026-07-07T14:54:45.977Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"07ac8365-a34c-4613-b029-5eaf32d8b7ba","isSidechain":false,"promptId":"67496e4d-3ce9-4838-a9de-8a1015ea2d01","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GNKaRNZsGBAbqdcWzNAisX","type":"tool_result","content":"**Nano**: Found it — and it's already running. Port **7842**, endpoint `/usage`. Live data right now:\n\n```\nClaude 5h: 0% | 7d: 13% (resets in ~4.3 days)\nCodex 5h: 0% | 7d: 28% (resets in ~6 days)\n```\n\nBoth 5h windows are fresh (just reset). Plenty of quota headroom today.\n\nThe launchd plist is documented in the project's SETUP.md — let me know if you want me to install it so the server auto-starts on login. Otherwise it's running now and I'll use it.\n\nThis unlocks the quota-aware routing. Next step: build the routing layer that reads this before dispatching work, and the opportunistic Tier 2 loop that fires when burn rate is below the smooth curve. I'll spec that out — want me to put it in the portfolio board as a near-term task?\n\n**User**: \nYes, I am interested in building this. Let’s like plan out the design of it a little bit first in terms of like available usage in that sort of thing I’m wondering how we should construct this because we might have projects that are like higher priority than others and so maybe if the if we’re we haven’t used much of our of our available quota then it’s fine to work on some lower priority projects assuming the higher party projects don’t have any any work pending we’re for a higher party projects even if we are not sort of above quota maybe it’s we should spend some of our usage anyway to get work done on those. I’m not quite sure how to sort of construct that kind of like priority mechanism or maybe it turns it into a question that’s put back to me as the user of, but like on deciding that kind of the edge cases here or defining a priority for something can you propose some strategy for this? I would like it to sort of be autonomous when possible of we have additional usage available let’s use it on high priority stuff first so I don’t want that to necessarily be blocking on me but I also don’t want this set up to automatically burn all of my usage so if I have questions I need to work with Claude on that I can’t use it because like all the LLM usage for all subscriptions is already completely spent so how can we? How can we sort of thread that that needle?\n\n**Nano**: Good design problem. Here's a proposal — three levers that together thread the needle:\n\n**1. Hard reserve (non-negotiable floor)**\nNever let autonomous work touch the bottom 25% of any 5h window or 15% of any 7d window. That buffer is always James's. Once quota drops below the floor, autonomous work stops completely — no exceptions.\n\n**2. Priority tiers + burn-rate gate**\n- **P1 projects** (high stakes): work whenever quota is above the floor — don't wait for \"excess\"\n- **P2 projects**: only work when current burn rate is *below* the smooth curve (i.e., you're burning less than the sustainable pace)\n- **P3 projects**: only work when meaningfully ahead of pace\n\nThe smooth-curve math is simple: `sustainable_pct_per_hour = 100 / window_hours`. If actual burn < that rate, there's \"excess.\" This adapts automatically — if you've been using Claude heavily, autonomous work pauses; if you haven't touched it, it runs.\n\n**3. Per-session cap**\nEach autonomous run can spend at most 10% of the current window's remaining capacity. One bad session can't drain the tank.\n\n**Proposed priority mapping for current projects:**\n- P1: `congressional-trading` (real money signal), `qip-qien` (live trial), `TradingBot25`\n- P2: `RoadSense` (going public), `AgenticLever`\n- P3: `StageHand`, `nanoclaw` maintenance\n\n**What I'd decide autonomously:** which task to run, when the burn rate allows it, which model to use\n**What I'd ask you:** anything that requires a judgment call about goals, anything review-required before merging\n\n**To start simple:** I'd only need you to confirm the priority tier for each project (P1/P2/P3) and the reserve line percentages. Everything else I can operate autonomously.\n\nWant me to add this to the board as a near-term spec task and mock up the routing logic?\n\n**User**: \nYeah, please add this to the board for a near-term thing let’s spec us out and mock up the routing logic so I can take a look at that and I think about it but it sounds like it sounds like that’s the way we should go and I don’t see why we don’t just start implementing this. It’s because it seems like those are just sort of settings we could configure like maybe like I don’t know it’s the config file or something where we can like. Tweak them as we go anyway or maybe there’s some kind of agentic way to sort of autonomously kind of figure out what the values should be as we use this some more in general that’s the pattern I would like to use of start with some intelligent default and if we can make the things sort of auto adjust like I don’t know close loop system is probably the technical description for the thing to sort of adjust in and manage on its own\n\n**Nano**: Card created and on the board. Starting implementation now — no reason to wait.\n\nOn the closed-loop idea: agreed, that's the right long-term shape. The system tracks quota spent vs output produced per run, and whether you used Claude interactively right after an autonomous run (if yes → reserve was too low). Weekly it surfaces a one-line health note if any threshold should shift. Starts with fixed defaults, drifts toward the right values over time without needing you to tune it manually.\n\nOne thing I need from you to start: confirm the P1/P2/P3 tiers I proposed, or adjust them. The draft is:\n\n- **P1** (always worth spending quota): congressional-trading, qip-qien, TradingBot25\n- **P2** (when burn rate is below pace): RoadSense, AgenticLever\n- **P3** (only when flush): StageHand, nanoclaw maintenance\n\nDoes that feel right, or would you move anything?\n\n**User**: \nActually, let’s invert those priority stuff. I think let’s put stage hand in 9 o’clock maintenance as the highest priority and congressional trading and trading bought. Let’s do those as the lowest priority and magenta lever. I think should be the next highest then really road sense.\n\n**Nano**: Updated. New priority order:\n\n- **P1**: StageHand, nanoclaw\n- **P2**: AgenticLever, RoadSense, qip-qien\n- **P3**: congressional-trading, TradingBot25\n\nMakes sense — the automated systems run themselves, the projects that need active building get the quota.\n\nOne thing I want to confirm since voice-to-text can be tricky: by \"nanoclaw maintenance\" at P1, do you mean ongoing upkeep tasks like the Slack commit and Reddit OAuth wiring? Or something broader?\n\nStarting the routing logic implementation now.\n\n**User**: \nYeah, for the 9 o’clock maintenance I just mean the general sort of task that we’re working on right now of implementing orchestration and routing and usage and these sorts of things being that this is like infrastructure that we are using to basically set up the factory. I think it’s a high importance to get that set up in working right and working well in polish and that sort of thing to then enable us to sort of accelerate and use all of these things and rely on them. But you’re right to ask the question I appreciate that the Reddit thing yeah that is lower priority and I’m not super concerned about that one that’s been sitting around for a little while. I don’t find that much content on Reddit that’s that like useful for ingestion so yeah that’s been sitting a while and that can wait. The reason it’s blocked is actually there used to be Reddit used to allow the creation of these apps to get the oath and now they don’t now you have to send a message and get approved. I think they’ve been getting a lot of scraping from different AI bots or something and so they’ve become much more restrictive and so that’s what that’s why that thing is not yet done so maybe we just need to sort of note that and remove that from the list.\n\n**Nano**: Got it — Reddit is dropped. Noted why: Reddit now requires manual approval for new OAuth apps (AI scraping crackdown), and the content isn't high enough signal to be worth chasing. Cleared from the board, no further action.\n\nAnd confirmed: \"nanoclaw P1\" = the infrastructure work we're building right now — orchestration, routing, usage monitoring, the factory setup. That's the right framing. Get the rails right, then everything else accelerates on top of them.\n\nBuilding the routing logic now.\n\n**User**: \nThinking more about this harder and nonnegotiable floor. I think it needs to be relative to the time left in the window so the window is about to run out. Let’s say Saturday at 4 PM for Anthropic like there’s no sense in keeping 25% reserve right up until 3:59 PM because that’s basically just gonna be wasted that’s gonna get reset and we’re never gonna get a chance to use that usage again and there’s no penalty for using all of it so I think we need to somehow sort of account for this so that it’s relative to the what a consistent burn rate would be or something along these lines. I’m not quite sure how to how to word it or how to think about it, but I wanna make sure that we actually are taken advantage of all of the usage that we have, especially as we approach the end of the window and then the other thing I saw something about never using more than 10% of the usage window. I don’t think we wanna have that sort of constraint.\n\n**Nano**: Good refinement. Two clean changes — updating the design now.\n\n**Nano**: Updated. The revised design:\n\n**Adaptive reserve:** `reserve = base_pct × (time_remaining / window_duration)`. Near reset, the reserve shrinks toward zero so quota doesn't get stranded. A 25% base reserve at the start of a 5h window becomes ~2% in the last 15 minutes — basically \"use it all.\"\n\n**No per-session cap.** If there's work and quota, run the work. The only throttle is the adaptive reserve floor.\n\nThe math runs independently on both the 5h and 7d windows and takes whichever is more constrained. So near a 5h reset with plenty of 7d remaining, you can still sprint through the last of the 5h quota.\n\nDesign is solid. Starting to write the actual routing script now.\n\n**User**: \nanother thing I was thinking about was some activities are more costly than others like planning. We probably want to use smarter more capable models at a higher level of effort because that’s gonna save us time in bad implementation or poor design decisions in any sort of things and so and that’s fine. That should be like expected in actually desirable to use to do planning on smarter models at higher effort levels and so those we also I think need to think about where the human in the loop is. I’m trying to reduce the human in loop but also there’s gonna be important checkpoints where we need the human in the loop in terms of like reviewing the plan. Perhaps if it’s a new plan doing New like Greenfield work they probably needs human review before starting implementation and so frontloading the planning done by the more intelligent model to then have that ready so that me the human loop can go review the plan, think about that think more deeply think about the open questions we need to also do a red team review on that we need to implement that as part of the sort of the end of the plan creation before the human gets involved.","is_error":false}]},"uuid":"47251353-7b53-465d-8520-7878ae02fdeb","timestamp":"2026-07-07T14:54:45.988Z","toolUseResult":{"stdout":"**Nano**: Found it — and it's already running. Port **7842**, endpoint `/usage`. Live data right now:\n\n```\nClaude 5h: 0% | 7d: 13% (resets in ~4.3 days)\nCodex 5h: 0% | 7d: 28% (resets in ~6 days)\n```\n\nBoth 5h windows are fresh (just reset). Plenty of quota headroom today.\n\nThe launchd plist is documented in the project's SETUP.md — let me know if you want me to install it so the server auto-starts on login. Otherwise it's running now and I'll use it.\n\nThis unlocks the quota-aware routing. Next step: build the routing layer that reads this before dispatching work, and the opportunistic Tier 2 loop that fires when burn rate is below the smooth curve. I'll spec that out — want me to put it in the portfolio board as a near-term task?\n\n**User**: \nYes, I am interested in building this. Let’s like plan out the design of it a little bit first in terms of like available usage in that sort of thing I’m wondering how we should construct this because we might have projects that are like higher priority than others and so maybe if the if we’re we haven’t used much of our of our available quota then it’s fine to work on some lower priority projects assuming the higher party projects don’t have any any work pending we’re for a higher party projects even if we are not sort of above quota maybe it’s we should spend some of our usage anyway to get work done on those. I’m not quite sure how to sort of construct that kind of like priority mechanism or maybe it turns it into a question that’s put back to me as the user of, but like on deciding that kind of the edge cases here or defining a priority for something can you propose some strategy for this? I would like it to sort of be autonomous when possible of we have additional usage available let’s use it on high priority stuff first so I don’t want that to necessarily be blocking on me but I also don’t want this set up to automatically burn all of my usage so if I have questions I need to work with Claude on that I can’t use it because like all the LLM usage for all subscriptions is already completely spent so how can we? How can we sort of thread that that needle?\n\n**Nano**: Good design problem. Here's a proposal — three levers that together thread the needle:\n\n**1. Hard reserve (non-negotiable floor)**\nNever let autonomous work touch the bottom 25% of any 5h window or 15% of any 7d window. That buffer is always James's. Once quota drops below the floor, autonomous work stops completely — no exceptions.\n\n**2. Priority tiers + burn-rate gate**\n- **P1 projects** (high stakes): work whenever quota is above the floor — don't wait for \"excess\"\n- **P2 projects**: only work when current burn rate is *below* the smooth curve (i.e., you're burning less than the sustainable pace)\n- **P3 projects**: only work when meaningfully ahead of pace\n\nThe smooth-curve math is simple: `sustainable_pct_per_hour = 100 / window_hours`. If actual burn < that rate, there's \"excess.\" This adapts automatically — if you've been using Claude heavily, autonomous work pauses; if you haven't touched it, it runs.\n\n**3. Per-session cap**\nEach autonomous run can spend at most 10% of the current window's remaining capacity. One bad session can't drain the tank.\n\n**Proposed priority mapping for current projects:**\n- P1: `congressional-trading` (real money signal), `qip-qien` (live trial), `TradingBot25`\n- P2: `RoadSense` (going public), `AgenticLever`\n- P3: `StageHand`, `nanoclaw` maintenance\n\n**What I'd decide autonomously:** which task to run, when the burn rate allows it, which model to use\n**What I'd ask you:** anything that requires a judgment call about goals, anything review-required before merging\n\n**To start simple:** I'd only need you to confirm the priority tier for each project (P1/P2/P3) and the reserve line percentages. Everything else I can operate autonomously.\n\nWant me to add this to the board as a near-term spec task and mock up the routing logic?\n\n**User**: \nYeah, please add this to the board for a near-term thing let’s spec us out and mock up the routing logic so I can take a look at that and I think about it but it sounds like it sounds like that’s the way we should go and I don’t see why we don’t just start implementing this. It’s because it seems like those are just sort of settings we could configure like maybe like I don’t know it’s the config file or something where we can like. Tweak them as we go anyway or maybe there’s some kind of agentic way to sort of autonomously kind of figure out what the values should be as we use this some more in general that’s the pattern I would like to use of start with some intelligent default and if we can make the things sort of auto adjust like I don’t know close loop system is probably the technical description for the thing to sort of adjust in and manage on its own\n\n**Nano**: Card created and on the board. Starting implementation now — no reason to wait.\n\nOn the closed-loop idea: agreed, that's the right long-term shape. The system tracks quota spent vs output produced per run, and whether you used Claude interactively right after an autonomous run (if yes → reserve was too low). Weekly it surfaces a one-line health note if any threshold should shift. Starts with fixed defaults, drifts toward the right values over time without needing you to tune it manually.\n\nOne thing I need from you to start: confirm the P1/P2/P3 tiers I proposed, or adjust them. The draft is:\n\n- **P1** (always worth spending quota): congressional-trading, qip-qien, TradingBot25\n- **P2** (when burn rate is below pace): RoadSense, AgenticLever\n- **P3** (only when flush): StageHand, nanoclaw maintenance\n\nDoes that feel right, or would you move anything?\n\n**User**: \nActually, let’s invert those priority stuff. I think let’s put stage hand in 9 o’clock maintenance as the highest priority and congressional trading and trading bought. Let’s do those as the lowest priority and magenta lever. I think should be the next highest then really road sense.\n\n**Nano**: Updated. New priority order:\n\n- **P1**: StageHand, nanoclaw\n- **P2**: AgenticLever, RoadSense, qip-qien\n- **P3**: congressional-trading, TradingBot25\n\nMakes sense — the automated systems run themselves, the projects that need active building get the quota.\n\nOne thing I want to confirm since voice-to-text can be tricky: by \"nanoclaw maintenance\" at P1, do you mean ongoing upkeep tasks like the Slack commit and Reddit OAuth wiring? Or something broader?\n\nStarting the routing logic implementation now.\n\n**User**: \nYeah, for the 9 o’clock maintenance I just mean the general sort of task that we’re working on right now of implementing orchestration and routing and usage and these sorts of things being that this is like infrastructure that we are using to basically set up the factory. I think it’s a high importance to get that set up in working right and working well in polish and that sort of thing to then enable us to sort of accelerate and use all of these things and rely on them. But you’re right to ask the question I appreciate that the Reddit thing yeah that is lower priority and I’m not super concerned about that one that’s been sitting around for a little while. I don’t find that much content on Reddit that’s that like useful for ingestion so yeah that’s been sitting a while and that can wait. The reason it’s blocked is actually there used to be Reddit used to allow the creation of these apps to get the oath and now they don’t now you have to send a message and get approved. I think they’ve been getting a lot of scraping from different AI bots or something and so they’ve become much more restrictive and so that’s what that’s why that thing is not yet done so maybe we just need to sort of note that and remove that from the list.\n\n**Nano**: Got it — Reddit is dropped. Noted why: Reddit now requires manual approval for new OAuth apps (AI scraping crackdown), and the content isn't high enough signal to be worth chasing. Cleared from the board, no further action.\n\nAnd confirmed: \"nanoclaw P1\" = the infrastructure work we're building right now — orchestration, routing, usage monitoring, the factory setup. That's the right framing. Get the rails right, then everything else accelerates on top of them.\n\nBuilding the routing logic now.\n\n**User**: \nThinking more about this harder and nonnegotiable floor. I think it needs to be relative to the time left in the window so the window is about to run out. Let’s say Saturday at 4 PM for Anthropic like there’s no sense in keeping 25% reserve right up until 3:59 PM because that’s basically just gonna be wasted that’s gonna get reset and we’re never gonna get a chance to use that usage again and there’s no penalty for using all of it so I think we need to somehow sort of account for this so that it’s relative to the what a consistent burn rate would be or something along these lines. I’m not quite sure how to how to word it or how to think about it, but I wanna make sure that we actually are taken advantage of all of the usage that we have, especially as we approach the end of the window and then the other thing I saw something about never using more than 10% of the usage window. I don’t think we wanna have that sort of constraint.\n\n**Nano**: Good refinement. Two clean changes — updating the design now.\n\n**Nano**: Updated. The revised design:\n\n**Adaptive reserve:** `reserve = base_pct × (time_remaining / window_duration)`. Near reset, the reserve shrinks toward zero so quota doesn't get stranded. A 25% base reserve at the start of a 5h window becomes ~2% in the last 15 minutes — basically \"use it all.\"\n\n**No per-session cap.** If there's work and quota, run the work. The only throttle is the adaptive reserve floor.\n\nThe math runs independently on both the 5h and 7d windows and takes whichever is more constrained. So near a 5h reset with plenty of 7d remaining, you can still sprint through the last of the 5h quota.\n\nDesign is solid. Starting to write the actual routing script now.\n\n**User**: \nanother thing I was thinking about was some activities are more costly than others like planning. We probably want to use smarter more capable models at a higher level of effort because that’s gonna save us time in bad implementation or poor design decisions in any sort of things and so and that’s fine. That should be like expected in actually desirable to use to do planning on smarter models at higher effort levels and so those we also I think need to think about where the human in the loop is. I’m trying to reduce the human in loop but also there’s gonna be important checkpoints where we need the human in the loop in terms of like reviewing the plan. Perhaps if it’s a new plan doing New like Greenfield work they probably needs human review before starting implementation and so frontloading the planning done by the more intelligent model to then have that ready so that me the human loop can go review the plan, think about that think more deeply think about the open questions we need to also do a red team review on that we need to implement that as part of the sort of the end of the plan creation before the human gets involved.","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"07ac8365-a34c-4613-b029-5eaf32d8b7ba","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"parentUuid":"746b7536-6bec-4377-a0d4-152dfedc02f2","isSidechain":false,"promptId":"67496e4d-3ce9-4838-a9de-8a1015ea2d01","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CyGgFoS4zhwXpWjf3BUejh","type":"tool_result","content":"{\n \"reserve_5h_pct\": 25,\n \"reserve_7d_pct\": 15,\n\n \"project_priorities\": {\n \"StageHand\": \"P1\",\n \"nanoclaw\": \"P1\",\n \"AgenticLever\": \"P2\",\n \"RoadSense\": \"P2\",\n \"qip-qien\": \"P2\",\n \"congressional-trading\": \"P3\",\n \"TradingBot25\": \"P3\"\n },\n\n \"flush_threshold\": 60,\n \"comfortable_threshold\": 40,\n \"moderate_threshold\": 20,\n\n \"codexbar_url\": \"http://host.docker.internal:7842/usage\",\n \"lm_studio_url\": \"http://host.docker.internal:1234\"\n}\n---\n/**\n * Portfolio Autopilot — quota reader + routing logic\n *\n * Reads CodexBar usage, computes burnable quota, and outputs a routing decision:\n * which projects are eligible to run and at what model tier.\n *\n * Usage:\n * node autopilot.mjs → prints routing summary to stdout\n * node autopilot.mjs --json → prints routing decision as JSON\n * node autopilot.mjs --check → prints only burnable pct (for scripts)\n *\n * NOTE: CodexBar `pct` field = percent USED (consumed). Remaining = 100 - pct.\n */\n\n// Bypass proxy for local Docker host\nprocess.env.NO_PROXY = [process.env.NO_PROXY, \"host.docker.internal\"]\n .filter(Boolean)\n .join(\",\");\n\nimport { readFileSync } from \"fs\";\nimport { fileURLToPath } from \"url\";\nimport { dirname, join } from \"path\";\n\nconst __dirname = dirname(fileURLToPath(import.meta.url));\nconst config = JSON.parse(\n readFileSync(join(__dirname, \"autopilot-config.json\"), \"utf8\")\n);\n\nconst JSON_MODE = process.argv.includes(\"--json\");\nconst CHECK_MODE = process.argv.includes(\"--check\");\n\n// ─── Quota Reader ────────────────────────────────────────────────────────────\n\nasync function fetchUsage() {\n const res = await fetch(config.codexbar_url);\n if (!res.ok) throw new Error(`CodexBar returned ${res.status}`);\n return res.json();\n}\n\n/** pct = percent used; remaining = 100 - pct */\nfunction remaining(window) {\n return 100 - (window?.pct ?? 100);\n}\n\n/**\n * Extract matching windows from a provider's windows array.\n * Returns { w5h, w7d } — each has .label, .pct (used%), .resets_in_sec, .duration_sec\n */\nfunction extractWindows(windows = []) {\n const w5h = windows.find((w) => Math.abs(w.duration_sec - 18000) < 300) ?? null;\n const w7d = windows.find((w) => Math.abs(w.duration_sec - 604800) < 600) ?? null;\n return { w5h, w7d };\n}\n\n/** resets_in_sec = -1 means the window just reset (no timer established yet); treat as full duration */\nfunction effectiveResetsIn(window) {\n if (!window) return 0;\n return window.resets_in_sec < 0 ? window.duration_sec : window.resets_in_sec;\n}\n\n/** ISO timestamp for when this window resets */\nfunction nextResetAt(window) {\n if (!window) return null;\n const sec = effectiveResetsIn(window);\n return new Date(Date.now() + sec * 1000).toISOString();\n}\n\n// ─── Adaptive Reserve Formula ────────────────────────────────────────────────\n\n/**\n * adaptive_reserve_pct = base_reserve_pct × (resets_in_sec / window_duration_sec)\n * burnable_pct = remaining_pct − adaptive_reserve_pct\n */\nfunction computeBurnable(window, basePct) {\n if (!window) return 0;\n const rem = remaining(window);\n if (rem <= 0) return 0;\n const timeRatio = effectiveResetsIn(window) / window.duration_sec;\n const adaptiveReserve = basePct * timeRatio;\n return Math.max(0, rem - adaptiveReserve);","is_error":false}]},"uuid":"2ffe362b-493f-423f-ba09-5f886e938d89","timestamp":"2026-07-07T14:54:53.409Z","toolUseResult":{"stdout":"{\n \"reserve_5h_pct\": 25,\n \"reserve_7d_pct\": 15,\n\n \"project_priorities\": {\n \"StageHand\": \"P1\",\n \"nanoclaw\": \"P1\",\n \"AgenticLever\": \"P2\",\n \"RoadSense\": \"P2\",\n \"qip-qien\": \"P2\",\n \"congressional-trading\": \"P3\",\n \"TradingBot25\": \"P3\"\n },\n\n \"flush_threshold\": 60,\n \"comfortable_threshold\": 40,\n \"moderate_threshold\": 20,\n\n \"codexbar_url\": \"http://host.docker.internal:7842/usage\",\n \"lm_studio_url\": \"http://host.docker.internal:1234\"\n}\n---\n/**\n * Portfolio Autopilot — quota reader + routing logic\n *\n * Reads CodexBar usage, computes burnable quota, and outputs a routing decision:\n * which projects are eligible to run and at what model tier.\n *\n * Usage:\n * node autopilot.mjs → prints routing summary to stdout\n * node autopilot.mjs --json → prints routing decision as JSON\n * node autopilot.mjs --check → prints only burnable pct (for scripts)\n *\n * NOTE: CodexBar `pct` field = percent USED (consumed). Remaining = 100 - pct.\n */\n\n// Bypass proxy for local Docker host\nprocess.env.NO_PROXY = [process.env.NO_PROXY, \"host.docker.internal\"]\n .filter(Boolean)\n .join(\",\");\n\nimport { readFileSync } from \"fs\";\nimport { fileURLToPath } from \"url\";\nimport { dirname, join } from \"path\";\n\nconst __dirname = dirname(fileURLToPath(import.meta.url));\nconst config = JSON.parse(\n readFileSync(join(__dirname, \"autopilot-config.json\"), \"utf8\")\n);\n\nconst JSON_MODE = process.argv.includes(\"--json\");\nconst CHECK_MODE = process.argv.includes(\"--check\");\n\n// ─── Quota Reader ────────────────────────────────────────────────────────────\n\nasync function fetchUsage() {\n const res = await fetch(config.codexbar_url);\n if (!res.ok) throw new Error(`CodexBar returned ${res.status}`);\n return res.json();\n}\n\n/** pct = percent used; remaining = 100 - pct */\nfunction remaining(window) {\n return 100 - (window?.pct ?? 100);\n}\n\n/**\n * Extract matching windows from a provider's windows array.\n * Returns { w5h, w7d } — each has .label, .pct (used%), .resets_in_sec, .duration_sec\n */\nfunction extractWindows(windows = []) {\n const w5h = windows.find((w) => Math.abs(w.duration_sec - 18000) < 300) ?? null;\n const w7d = windows.find((w) => Math.abs(w.duration_sec - 604800) < 600) ?? null;\n return { w5h, w7d };\n}\n\n/** resets_in_sec = -1 means the window just reset (no timer established yet); treat as full duration */\nfunction effectiveResetsIn(window) {\n if (!window) return 0;\n return window.resets_in_sec < 0 ? window.duration_sec : window.resets_in_sec;\n}\n\n/** ISO timestamp for when this window resets */\nfunction nextResetAt(window) {\n if (!window) return null;\n const sec = effectiveResetsIn(window);\n return new Date(Date.now() + sec * 1000).toISOString();\n}\n\n// ─── Adaptive Reserve Formula ────────────────────────────────────────────────\n\n/**\n * adaptive_reserve_pct = base_reserve_pct × (resets_in_sec / window_duration_sec)\n * burnable_pct = remaining_pct − adaptive_reserve_pct\n */\nfunction computeBurnable(window, basePct) {\n if (!window) return 0;\n const rem = remaining(window);\n if (rem <= 0) return 0;\n const timeRatio = effectiveResetsIn(window) / window.duration_sec;\n const adaptiveReserve = basePct * timeRatio;\n return Math.max(0, rem - adaptiveReserve);","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"746b7536-6bec-4377-a0d4-152dfedc02f2","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"2ffe362b-493f-423f-ba09-5f886e938d89","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcntZPVJqCKzjtLGk2jbB","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Now I understand the context. This morning, James and I were designing and implementing the autopilot routing system. The `autopilot.mjs` and `autopilot-trigger.mjs` files were created, and there's a config file. James is now asking \"ok are we good now?\" — likely starting a new session and checking if the work is in a good state, or checking if something is working.\n\nLet me check the full autopilot file and trigger to understand what's been done and what state we're in.","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1250,"cache_read_input_tokens":36459,"output_tokens":244,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1250},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":244,"cache_read_input_tokens":36459,"cache_creation_input_tokens":1250,"cache_creation":{"ephemeral_5m_input_tokens":1250,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcntZNDActbZnz67sSKtq","type":"assistant","uuid":"d6e36604-b717-466d-acfd-259d1f994a59","timestamp":"2026-07-07T14:54:57.839Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"d6e36604-b717-466d-acfd-259d1f994a59","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcntZPVJqCKzjtLGk2jbB","type":"message","role":"assistant","content":[{"type":"text","text":"I can see the autopilot routing system we built earlier today. Let me check its current state quickly."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1250,"cache_read_input_tokens":36459,"output_tokens":244,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1250},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":244,"cache_read_input_tokens":36459,"cache_creation_input_tokens":1250,"cache_creation":{"ephemeral_5m_input_tokens":1250,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcntZNDActbZnz67sSKtq","type":"assistant","uuid":"b31dc533-7c9e-409e-bb83-11f13a97e1d8","timestamp":"2026-07-07T14:54:57.847Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"b31dc533-7c9e-409e-bb83-11f13a97e1d8","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcntZPVJqCKzjtLGk2jbB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FM4kcAtERMe7yDHJNXFht5","name":"Bash","input":{"command":"node /workspace/agent/autopilot.mjs 2>&1","description":"Run autopilot to check current routing state"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1250,"cache_read_input_tokens":36459,"output_tokens":244,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1250},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":244,"cache_read_input_tokens":36459,"cache_creation_input_tokens":1250,"cache_creation":{"ephemeral_5m_input_tokens":1250,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcntZNDActbZnz67sSKtq","type":"assistant","uuid":"92d29e3e-099a-4c1e-9e30-253f6b0b0b0c","timestamp":"2026-07-07T14:54:58.266Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"92d29e3e-099a-4c1e-9e30-253f6b0b0b0c","isSidechain":false,"promptId":"67496e4d-3ce9-4838-a9de-8a1015ea2d01","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FM4kcAtERMe7yDHJNXFht5","type":"tool_result","content":"(node:261) [UNDICI-EHPA] Warning: EnvHttpProxyAgent is experimental, expect them to change at any time.\n(Use `node --trace-warnings ...` to show where the warning was created)\n\n=== Portfolio Autopilot — 2026-07-07T14:54:59.378Z ===\n\nClaude 5h: 100% remaining (just reset) 7d: 87% remaining (resets in 102h)\nCodex 5h: 100% remaining (resets in 300m) 7d: 72% remaining (resets in 145h)\n\nClaude burnable — 5h: 75.0% 7d: 77.9% effective: 75.0%\nQuota tier: HIGH — P1+P2+P3 — Claude Sonnet\nNext reset: 2026-07-07T19:54:59.377Z\n\nEligible projects:\n ✓ StageHand (P1) — model: claude-sonnet\n ✓ nanoclaw (P1) — model: claude-sonnet\n ✓ AgenticLever (P2) — model: claude-sonnet\n ✓ RoadSense (P2) — model: claude-sonnet\n ✓ qip-qien (P2) — model: claude-sonnet\n ✓ congressional-trading (P3) — model: claude-sonnet\n ✓ TradingBot25 (P3) — model: claude-sonnet","is_error":false}]},"uuid":"951e7a28-fc15-490b-a09e-c32dde7ae64a","timestamp":"2026-07-07T14:54:59.391Z","toolUseResult":{"stdout":"(node:261) [UNDICI-EHPA] Warning: EnvHttpProxyAgent is experimental, expect them to change at any time.\n(Use `node --trace-warnings ...` to show where the warning was created)\n\n=== Portfolio Autopilot — 2026-07-07T14:54:59.378Z ===\n\nClaude 5h: 100% remaining (just reset) 7d: 87% remaining (resets in 102h)\nCodex 5h: 100% remaining (resets in 300m) 7d: 72% remaining (resets in 145h)\n\nClaude burnable — 5h: 75.0% 7d: 77.9% effective: 75.0%\nQuota tier: HIGH — P1+P2+P3 — Claude Sonnet\nNext reset: 2026-07-07T19:54:59.377Z\n\nEligible projects:\n ✓ StageHand (P1) — model: claude-sonnet\n ✓ nanoclaw (P1) — model: claude-sonnet\n ✓ AgenticLever (P2) — model: claude-sonnet\n ✓ RoadSense (P2) — model: claude-sonnet\n ✓ qip-qien (P2) — model: claude-sonnet\n ✓ congressional-trading (P3) — model: claude-sonnet\n ✓ TradingBot25 (P3) — model: claude-sonnet","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"92d29e3e-099a-4c1e-9e30-253f6b0b0b0c","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"951e7a28-fc15-490b-a09e-c32dde7ae64a","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcntZovz9umVDRzH1sTjd","type":"message","role":"assistant","content":[{"type":"text","text":"Yep, we're good. The autopilot routing system is live and working.\n\nGood to go. Autopilot is running — right now you've got **75% burnable quota** on Claude (5h just reset, 7d at 87%). All projects P1–P3 are eligible. Next 5h reset in ~5 hours.\n\nWhere we left off: the routing logic is built and the config file is wired. What we hadn't finished yet was the **planning-tier + human checkpoint** piece you described — smart model for planning, red-team review, then pause for your sign-off before implementation starts. Want to continue there?"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":625,"cache_read_input_tokens":37709,"output_tokens":162,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":625},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":162,"cache_read_input_tokens":37709,"cache_creation_input_tokens":625,"cache_creation":{"ephemeral_5m_input_tokens":625,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcntZoSxjrcZcHyNAiHNp","type":"assistant","uuid":"1274c404-395d-466c-ae64-4585c49be26a","timestamp":"2026-07-07T14:55:04.692Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T14:56:12.497Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\nhmm both OpenAi and Gemini should be available right now, that smells like a bug, maybe we are misinterpretting the available usage?"}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T14:56:12.497Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"1274c404-395d-466c-ae64-4585c49be26a","isSidechain":false,"promptId":"33647ac1-4834-446a-bea4-2a8531c2d960","type":"user","message":{"role":"user","content":"\nhmm both OpenAi and Gemini should be available right now, that smells like a bug, maybe we are misinterpretting the available usage?"},"uuid":"25e50a3e-b668-49fd-b8b4-d8378bcf0edd","timestamp":"2026-07-07T14:56:12.501Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"25e50a3e-b668-49fd-b8b4-d8378bcf0edd","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcntfCmZEs3wwtbmUZKDi","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"James is pointing out that the autopilot output only shows Claude and Codex (OpenAI) but not Gemini. Let me check the raw CodexBar data to see what's available and if we're misinterpreting it.","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":248,"cache_read_input_tokens":38334,"output_tokens":197,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":248},"inference_geo":"","iterations":[{"input_tokens":3,"output_tokens":197,"cache_read_input_tokens":38334,"cache_creation_input_tokens":248,"cache_creation":{"ephemeral_5m_input_tokens":248,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcntfCJ2VANKn2FPit72v","type":"assistant","uuid":"b30024c3-91c4-4944-89dc-209127a26a0d","timestamp":"2026-07-07T14:56:14.878Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"b30024c3-91c4-4944-89dc-209127a26a0d","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcntfCmZEs3wwtbmUZKDi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MryJWrAzFPYgHaiM1u2EF4","name":"Bash","input":{"command":"curl -s http://host.docker.internal:7842/usage 2>&1 | python3 -m json.tool 2>/dev/null || curl -s http://host.docker.internal:7842/usage 2>&1","description":"Fetch raw CodexBar usage data"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":248,"cache_read_input_tokens":38334,"output_tokens":197,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":248},"inference_geo":"","iterations":[{"input_tokens":3,"output_tokens":197,"cache_read_input_tokens":38334,"cache_creation_input_tokens":248,"cache_creation":{"ephemeral_5m_input_tokens":248,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcntfCJ2VANKn2FPit72v","type":"assistant","uuid":"c747a9e5-242c-4323-99b8-f36b49d8ac0d","timestamp":"2026-07-07T14:56:15.747Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"c747a9e5-242c-4323-99b8-f36b49d8ac0d","isSidechain":false,"promptId":"33647ac1-4834-446a-bea4-2a8531c2d960","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MryJWrAzFPYgHaiM1u2EF4","type":"tool_result","content":"{\n \"ok\": true,\n \"updated_at\": 1783436176,\n \"providers\": [\n {\n \"name\": \"Claude\",\n \"attention\": {\n \"state\": \"idle\",\n \"count\": 0,\n \"primary_project\": \"\",\n \"projects\": [],\n \"reason\": \"\",\n \"updated_at\": 1783436176\n },\n \"windows\": [\n {\n \"label\": \"5h\",\n \"pct\": 0,\n \"resets_in_sec\": -1,\n \"duration_sec\": 18000\n },\n {\n \"label\": \"7d\",\n \"pct\": 13,\n \"resets_in_sec\": 367423,\n \"duration_sec\": 604800\n }\n ]\n },\n {\n \"name\": \"Codex\",\n \"attention\": {\n \"state\": \"idle\",\n \"count\": 0,\n \"primary_project\": \"\",\n \"projects\": [],\n \"reason\": \"\",\n \"updated_at\": 1783436176\n },\n \"windows\": [\n {\n \"label\": \"5h\",\n \"pct\": 0,\n \"resets_in_sec\": 17999,\n \"duration_sec\": 18000\n },\n {\n \"label\": \"7d\",\n \"pct\": 28,\n \"resets_in_sec\": 521936,\n \"duration_sec\": 604800\n }\n ]\n }\n ]\n}","is_error":false}]},"uuid":"6fabf896-3c64-4a6a-8c3e-5b31d70f7b59","timestamp":"2026-07-07T14:56:16.666Z","toolUseResult":{"stdout":"{\n \"ok\": true,\n \"updated_at\": 1783436176,\n \"providers\": [\n {\n \"name\": \"Claude\",\n \"attention\": {\n \"state\": \"idle\",\n \"count\": 0,\n \"primary_project\": \"\",\n \"projects\": [],\n \"reason\": \"\",\n \"updated_at\": 1783436176\n },\n \"windows\": [\n {\n \"label\": \"5h\",\n \"pct\": 0,\n \"resets_in_sec\": -1,\n \"duration_sec\": 18000\n },\n {\n \"label\": \"7d\",\n \"pct\": 13,\n \"resets_in_sec\": 367423,\n \"duration_sec\": 604800\n }\n ]\n },\n {\n \"name\": \"Codex\",\n \"attention\": {\n \"state\": \"idle\",\n \"count\": 0,\n \"primary_project\": \"\",\n \"projects\": [],\n \"reason\": \"\",\n \"updated_at\": 1783436176\n },\n \"windows\": [\n {\n \"label\": \"5h\",\n \"pct\": 0,\n \"resets_in_sec\": 17999,\n \"duration_sec\": 18000\n },\n {\n \"label\": \"7d\",\n \"pct\": 28,\n \"resets_in_sec\": 521936,\n \"duration_sec\": 604800\n }\n ]\n }\n ]\n}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"c747a9e5-242c-4323-99b8-f36b49d8ac0d","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"6fabf896-3c64-4a6a-8c3e-5b31d70f7b59","isSidechain":false,"attachment":{"type":"todo_reminder","content":[],"itemCount":0},"type":"attachment","uuid":"e82ea6f7-508c-4f3b-941e-8b49e231211a","timestamp":"2026-07-07T14:56:16.671Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"last-prompt","leafUuid":"e82ea6f7-508c-4f3b-941e-8b49e231211a","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"type":"ai-title","aiTitle":"Check project status and verify fixes","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"e82ea6f7-508c-4f3b-941e-8b49e231211a","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcntfXThXMo5iviGdQy2Y","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The raw CodexBar data only shows two providers: Claude and Codex. There's no Gemini in the data at all. James mentioned that Gemini should be available too, so the issue might be:\n\n1. CodexBar doesn't track Gemini (it only tracks Claude and Codex/OpenAI Codex)\n2. Our autopilot only reads Claude and Codex because that's all CodexBar provides\n\nSo the \"bug\" James is pointing to is that the autopilot shows \"Claude\" and \"Codex\" but not \"Gemini\" — and James is right that Gemini should be in there. But the issue isn't that we're misinterpreting data — it's that CodexBar simply doesn't report Gemini.\nCodexBar is designed specifically for tracking Claude and OpenAI Codex usage, so Gemini isn't included in its data at all. To surface Gemini as an option, we'd need to either pull from a different tracking source or manually query Gemini's usage endpoint. James might be saying the autopilot should offer Gemini as a routing option, but it can't because CodexBar doesn't provide that data.\n\nLooking at the autopilot logic, it currently routes between Claude Sonnet and Haiku (or Opus) with Codex as a fallback, but Gemini isn't part of the routing system at all. James sees that as a gap — he wants Gemini integrated into the provider options. Let me check the full autopilot implementation to see what models and providers it's actually handling.","signature":"EukNCmUIDxgCKkD7nZqzdhTdExeh5s3gLDOYbLVDd2MdRfWHHQL8dOj9ZeZRhhvR7J3jAdjip2WGefjP9MHz8ZI7vJmjGpR8+JW9MhFjbGF1ZGUtc29ubmV0LTQtNjgAQgh0aGlua2luZxIMDPadCWqA0OlQsTFyGgxvyfJ9HAipRoJqF+oiMCeMCEAquhxHqhnCZn0x2xiFov+gKuWNYON2CkuZPW/Wrgoh/nQiNoKGU92BhOrm2iqxDDgvReoOXlR1QY6wDY5Rg3EElCJg89TNWXA5jawNjqTnfJ3ASrazBsvDnTJtjAh6qoE30sRHRPWJgu0/p6VQKvbi2BEvlfbPCjfeiXj+AS7/+kx1ezvItcex7YASEheBt7wCW9j9VTfKdP+HxSBl9S9bXNwOFrYngV7t62bvfQSphQiE+bpDRfDAVQOPFUps+Qhrvj55NJSVUhZZC11frUeUwk5mRDMPpUuPAfJIQug936wtWgi8nhh8SxQhGFXxgBjDqvnTtMIiWAf5EWmcqyXpEEI7xQ4x+OxBIFf3iS/tFanJlY+THKavJIHCRtrBni6uE3dRVk974r7HOJ4PIoZj3Huyj3X3lJR98YJUpUx9OP3GuGlH1K9RMEghKLjokU7cC1vgJfTTaQhyjzERtUcN0RPIIK3BbcQFqwZgyQZwbRLO5sV+G56BxfAgEOIFKxWzpeSOHZVqDOlekWpJe1zFmkiyiW+GIH1eX5RSSj3sozqW+COJsnM9O2fFq5JpE2pwyw+/rwVV5gkTJrKzYrKxd3l45auymdsoHTBe3Eq9aRl39oFhZibtykDnaj/LkLVa61gEr+4A9JMLT66LNXlwseEgMC397TFmMKOqkTX/O0lh1Qyzcb9ngcqhFd5yvAeq/pqmKUh/cVdpNJOpGIphNHSPMVvsC72kXF74Fr59giiqrY0eXpazrbAWorXNnNwHEf23Y18pZzkSdJCWZX1SzeJwKjtIkGsdKPI8NW3wTkt2r44DTsT8FLzOXzGwD082gwnxdKQiZabWByEuz9Ir0QAEVrnibaROoXwdqABeMcfZn0ovLQlfxWp4mcfgd9azMvhptpG40v2VEmvn4BPwCrRPyz6C8D4g/tl+u7qgh1rlPDigCbX9nrfyEDKXD3qHJjQdEfSS1VgmHEGu/nn2da6t7mx1eKLAa1t1+CfV0ylwGaiKdG1fEXVGjhwumaluXc3pBK2mFlDadANvBSmLAfyB+Aj4caeMaLETESl6Vy3Od66DQy+2O85XfUcDFxwZA5DJUjYdhNRLxxTzwmPaz6xz66pgcsF4Ch/Om0h4TPTHrVZsEt0iJlU/m/eyhEOWBkegwp7hTf/ga7a9QJjGQRdo4JMxxnWF3a+02h8lxkz4R16jLhbherHf+AjrBeXTTAMDtB1v71glIBJ5GtWCb0eIuoKdQcsmrldbz3UzIX5Hmfd/vvln7C8fTv2ijW1+c2SS9bJqjC/DMSg42/Jl1NzFaSrApgXUm31yMeQKtaZ2ibqmS5O4447/tTKTZE3DhyzUNgdNY75WUwl2Aj79GZ3TklHG6Pmvr3CvkuM2i31hJzjKZ5pQNNshwhe2aBPSNVF+IkbdJ8PWiWCkKJWApxvZ2lt4+btoBPMyrCPsBGhgMBRMjy7SoPwHP6zCixfPntFxvvllu5Mf1DMeyvi4/rcJ5KrJcHpC6yTUyElstr5HGWh5rCmApu1aOeNmFr7DXwmUxtnXgMkDuxGbCQal4fc2MuvxrL9Nw+QGjezycGCoJrzWbVc+27JerHDTa3h1LeRC0Xv9sMpIUEZAvsS1o1f1jrYsnypnVLBg52VSCaVzJ+AgKNhXMedYCmN7sxrnAk+M14Wm+ZiYrvjv6mjl3eNKXC7V382hampNJgrk7q7Vti2s/xudU8JsZ/nFAYXWJCLGMDLYURqcfDdV5P3IvMSoHFjgh7b3SNELEFYn4eUErC7aLMWb6LDxxKKg8bAH8EcEI5Lj6u+Te1pFKU0m+OZGppOQ8ozWYJ8SjrzwXudlsxLH+5SJQ31nggchTw0HqjiUB52arqhMjZIZ8NO1tBR+DPgBy7FfgcCb0uZ6fy7zmTSLRsaX2Lda4FHnd/p5Yxr3vMNgfZ1xffXDwEYDXSbW7WFCfiEDuKyUyTschNCd+cPLYUUTuCktYIiMp/XxjRLEYuGuz1zjwzxLB1KotDquURqGXYUY7u2JWJxlKpJpJumpT4Qevb79WXLoL1j83bUheE/rLtsdkc2G6upC6SNOoa/HJ1imyj0r1j7d8NScZYB35AxMnDOOMbFIvEmiVXuTtQrS3P+LaRQbiVYWqZ9jHauM0diPf47qaTj95c16oZ0/wwrJcp/Xa9X+Q5gYAQ=="}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":714,"cache_read_input_tokens":38582,"output_tokens":531,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":714},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":531,"cache_read_input_tokens":38582,"cache_creation_input_tokens":714,"cache_creation":{"ephemeral_5m_input_tokens":714,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcntfWzv7Y3pDuTnWq5NH","type":"assistant","uuid":"8cbffab9-4e35-432e-8c75-08a0ca4a97c9","timestamp":"2026-07-07T14:56:27.826Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"8cbffab9-4e35-432e-8c75-08a0ca4a97c9","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcntfXThXMo5iviGdQy2Y","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GXKeKHXnW4UPW9bDrz5XUU","name":"Bash","input":{"command":"cat /workspace/agent/autopilot.mjs","description":"Read full autopilot script"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":714,"cache_read_input_tokens":38582,"output_tokens":531,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":714},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":531,"cache_read_input_tokens":38582,"cache_creation_input_tokens":714,"cache_creation":{"ephemeral_5m_input_tokens":714,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcntfWzv7Y3pDuTnWq5NH","type":"assistant","uuid":"706511a0-9684-4865-b538-736b0e51a3ee","timestamp":"2026-07-07T14:56:27.840Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"706511a0-9684-4865-b538-736b0e51a3ee","isSidechain":false,"promptId":"33647ac1-4834-446a-bea4-2a8531c2d960","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GXKeKHXnW4UPW9bDrz5XUU","type":"tool_result","content":"/**\n * Portfolio Autopilot — quota reader + routing logic\n *\n * Reads CodexBar usage, computes burnable quota, and outputs a routing decision:\n * which projects are eligible to run and at what model tier.\n *\n * Usage:\n * node autopilot.mjs → prints routing summary to stdout\n * node autopilot.mjs --json → prints routing decision as JSON\n * node autopilot.mjs --check → prints only burnable pct (for scripts)\n *\n * NOTE: CodexBar `pct` field = percent USED (consumed). Remaining = 100 - pct.\n */\n\n// Bypass proxy for local Docker host\nprocess.env.NO_PROXY = [process.env.NO_PROXY, \"host.docker.internal\"]\n .filter(Boolean)\n .join(\",\");\n\nimport { readFileSync } from \"fs\";\nimport { fileURLToPath } from \"url\";\nimport { dirname, join } from \"path\";\n\nconst __dirname = dirname(fileURLToPath(import.meta.url));\nconst config = JSON.parse(\n readFileSync(join(__dirname, \"autopilot-config.json\"), \"utf8\")\n);\n\nconst JSON_MODE = process.argv.includes(\"--json\");\nconst CHECK_MODE = process.argv.includes(\"--check\");\n\n// ─── Quota Reader ────────────────────────────────────────────────────────────\n\nasync function fetchUsage() {\n const res = await fetch(config.codexbar_url);\n if (!res.ok) throw new Error(`CodexBar returned ${res.status}`);\n return res.json();\n}\n\n/** pct = percent used; remaining = 100 - pct */\nfunction remaining(window) {\n return 100 - (window?.pct ?? 100);\n}\n\n/**\n * Extract matching windows from a provider's windows array.\n * Returns { w5h, w7d } — each has .label, .pct (used%), .resets_in_sec, .duration_sec\n */\nfunction extractWindows(windows = []) {\n const w5h = windows.find((w) => Math.abs(w.duration_sec - 18000) < 300) ?? null;\n const w7d = windows.find((w) => Math.abs(w.duration_sec - 604800) < 600) ?? null;\n return { w5h, w7d };\n}\n\n/** resets_in_sec = -1 means the window just reset (no timer established yet); treat as full duration */\nfunction effectiveResetsIn(window) {\n if (!window) return 0;\n return window.resets_in_sec < 0 ? window.duration_sec : window.resets_in_sec;\n}\n\n/** ISO timestamp for when this window resets */\nfunction nextResetAt(window) {\n if (!window) return null;\n const sec = effectiveResetsIn(window);\n return new Date(Date.now() + sec * 1000).toISOString();\n}\n\n// ─── Adaptive Reserve Formula ────────────────────────────────────────────────\n\n/**\n * adaptive_reserve_pct = base_reserve_pct × (resets_in_sec / window_duration_sec)\n * burnable_pct = remaining_pct − adaptive_reserve_pct\n */\nfunction computeBurnable(window, basePct) {\n if (!window) return 0;\n const rem = remaining(window);\n if (rem <= 0) return 0;\n const timeRatio = effectiveResetsIn(window) / window.duration_sec;\n const adaptiveReserve = basePct * timeRatio;\n return Math.max(0, rem - adaptiveReserve);\n}\n\n// ─── Tier Routing ────────────────────────────────────────────────────────────\n\nfunction quotaTier(burnablePct) {\n if (burnablePct <= 0) return { tier: \"zero\", label: \"No autonomous work\", allowedPriorities: [], implementationModel: null };\n if (burnablePct < 5) return { tier: \"minimal\", label: \"Maintenance only (LM Studio)\", allowedPriorities: [\"P1\"], implementationModel: \"lm-studio\" };\n if (burnablePct < 20) return { tier: \"low\", label: \"P1 only — Gemini/Haiku\", allowedPriorities: [\"P1\"], implementationModel: \"gemini-or-haiku\" };\n if (burnablePct < 50) return { tier: \"medium\", label: \"P1+P2 — Claude Sonnet\", allowedPriorities: [\"P1\", \"P2\"], implementationModel: \"claude-sonnet\" };\n return { tier: \"high\", label: \"P1+P2+P3 — Claude Sonnet\", allowedPriorities: [\"P1\", \"P2\", \"P3\"], implementationModel: \"claude-sonnet\" };\n}\n\n/**\n * Sustainable burn rate gate for P2/P3.\n * Passes if actual consumption is below the smooth-curve expected level.\n */\nfunction sustainableGatePasses(window) {\n if (!window) return false;\n const windowHours = window.duration_sec / 3600;\n const resets = effectiveResetsIn(window);\n const elapsedHours = (window.duration_sec - resets) / 3600;\n const expectedConsumed = (100 / windowHours) * elapsedHours;\n const actualConsumed = window.pct ?? 0; // pct = used%\n return actualConsumed < expectedConsumed;\n}\n\n// ─── Project Routing ─────────────────────────────────────────────────────────\n\nfunction routeProjects(tier, w7d) {\n const sustainableGate = w7d ? sustainableGatePasses(w7d) : true;\n const projects = [];\n\n for (const [project, priority] of Object.entries(config.project_priorities)) {\n if (!tier.allowedPriorities.includes(priority)) {\n projects.push({ project, priority, decision: \"skip\", reason: \"quota tier\" });\n continue;\n }\n if (priority !== \"P1\" && !sustainableGate) {\n projects.push({ project, priority, decision: \"skip\", reason: \"burn rate above sustainable pace\" });\n continue;\n }\n projects.push({ project, priority, decision: \"proceed\", implementationModel: tier.implementationModel });\n }\n\n return projects;\n}\n\n// ─── Main ────────────────────────────────────────────────────────────────────\n\nasync function main() {\n let data;\n try {\n data = await fetchUsage();\n } catch (err) {\n const out = { error: `Failed to reach CodexBar: ${err.message}`, burnable: 0 };\n if (JSON_MODE) console.log(JSON.stringify(out));\n else console.error(out.error);\n process.exit(1);\n }\n\n const providers = data.providers ?? [];\n\n // Claude is the constraint for autonomous work routing\n const claudeProvider = providers.find((p) => /claude/i.test(p.name ?? \"\")) ?? null;\n const { w5h, w7d } = extractWindows(claudeProvider?.windows ?? []);\n\n const burnable5h = computeBurnable(w5h, config.reserve_5h_pct);\n const burnable7d = computeBurnable(w7d, config.reserve_7d_pct);\n const burnable = Math.min(burnable5h, burnable7d);\n\n if (CHECK_MODE) {\n process.stdout.write(burnable.toFixed(1) + \"\\n\");\n return;\n }\n\n const tier = quotaTier(burnable);\n const projects = routeProjects(tier, w7d);\n\n // Reset time for the tighter window (5h if depleted, else whichever is constraining)\n const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;\n const resetAt = nextResetAt(constraintWindow);\n\n const result = {\n timestamp: new Date().toISOString(),\n providers: providers.map((p) => {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n return {\n name: p.name,\n \"5h\": p5h ? {\n used_pct: p5h.pct,\n remaining_pct: remaining(p5h),\n resets_in_sec: p5h.resets_in_sec,\n } : null,\n \"7d\": p7d ? {\n used_pct: p7d.pct,\n remaining_pct: remaining(p7d),\n resets_in_sec: p7d.resets_in_sec,\n } : null,\n };\n }),\n claude: {\n \"5h\": w5h ? { used_pct: w5h.pct, remaining_pct: remaining(w5h), burnable_pct: +burnable5h.toFixed(1), resets_in_sec: w5h.resets_in_sec } : null,\n \"7d\": w7d ? { used_pct: w7d.pct, remaining_pct: remaining(w7d), burnable_pct: +burnable7d.toFixed(1), resets_in_sec: w7d.resets_in_sec } : null,\n },\n burnable_pct: +burnable.toFixed(1),\n tier: tier.tier,\n tier_label: tier.label,\n next_reset_at: resetAt,\n projects,\n };\n\n if (JSON_MODE) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n\n // Human-readable summary\n console.log(`\\n=== Portfolio Autopilot — ${result.timestamp} ===\\n`);\n\n for (const p of providers) {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n const rem5 = p5h ? remaining(p5h).toFixed(0) : \"?\";\n const rem7 = p7d ? remaining(p7d).toFixed(0) : \"?\";\n const r5 = p5h ? (p5h.resets_in_sec < 0 ? \"just reset\" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : \"\";\n const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : \"\";\n console.log(`${p.name.padEnd(8)} 5h: ${rem5.padStart(3)}% remaining (${r5}) 7d: ${rem7.padStart(3)}% remaining (${r7})`);\n }\n\n console.log(`\\nClaude burnable — 5h: ${burnable5h.toFixed(1)}% 7d: ${burnable7d.toFixed(1)}% effective: ${burnable.toFixed(1)}%`);\n console.log(`Quota tier: ${tier.tier.toUpperCase()} — ${tier.label}`);\n if (resetAt) console.log(`Next reset: ${resetAt}`);\n console.log();\n\n const proceeding = projects.filter((p) => p.decision === \"proceed\");\n const skipped = projects.filter((p) => p.decision === \"skip\");\n\n if (proceeding.length === 0) {\n console.log(\"No projects eligible to run.\");\n } else {\n console.log(\"Eligible projects:\");\n for (const p of proceeding) {\n console.log(` ✓ ${p.project} (${p.priority}) — model: ${p.implementationModel}`);\n }\n }\n\n if (skipped.length > 0) {\n console.log(\"\\nSkipped:\");\n for (const p of skipped) {\n console.log(` ✗ ${p.project} (${p.priority}) — ${p.reason}`);\n }\n }\n\n console.log(\"\");\n}\n\nmain();","is_error":false}]},"uuid":"d80227d8-ea13-4e40-a55c-db97b6dd2321","timestamp":"2026-07-07T14:56:27.859Z","toolUseResult":{"stdout":"/**\n * Portfolio Autopilot — quota reader + routing logic\n *\n * Reads CodexBar usage, computes burnable quota, and outputs a routing decision:\n * which projects are eligible to run and at what model tier.\n *\n * Usage:\n * node autopilot.mjs → prints routing summary to stdout\n * node autopilot.mjs --json → prints routing decision as JSON\n * node autopilot.mjs --check → prints only burnable pct (for scripts)\n *\n * NOTE: CodexBar `pct` field = percent USED (consumed). Remaining = 100 - pct.\n */\n\n// Bypass proxy for local Docker host\nprocess.env.NO_PROXY = [process.env.NO_PROXY, \"host.docker.internal\"]\n .filter(Boolean)\n .join(\",\");\n\nimport { readFileSync } from \"fs\";\nimport { fileURLToPath } from \"url\";\nimport { dirname, join } from \"path\";\n\nconst __dirname = dirname(fileURLToPath(import.meta.url));\nconst config = JSON.parse(\n readFileSync(join(__dirname, \"autopilot-config.json\"), \"utf8\")\n);\n\nconst JSON_MODE = process.argv.includes(\"--json\");\nconst CHECK_MODE = process.argv.includes(\"--check\");\n\n// ─── Quota Reader ────────────────────────────────────────────────────────────\n\nasync function fetchUsage() {\n const res = await fetch(config.codexbar_url);\n if (!res.ok) throw new Error(`CodexBar returned ${res.status}`);\n return res.json();\n}\n\n/** pct = percent used; remaining = 100 - pct */\nfunction remaining(window) {\n return 100 - (window?.pct ?? 100);\n}\n\n/**\n * Extract matching windows from a provider's windows array.\n * Returns { w5h, w7d } — each has .label, .pct (used%), .resets_in_sec, .duration_sec\n */\nfunction extractWindows(windows = []) {\n const w5h = windows.find((w) => Math.abs(w.duration_sec - 18000) < 300) ?? null;\n const w7d = windows.find((w) => Math.abs(w.duration_sec - 604800) < 600) ?? null;\n return { w5h, w7d };\n}\n\n/** resets_in_sec = -1 means the window just reset (no timer established yet); treat as full duration */\nfunction effectiveResetsIn(window) {\n if (!window) return 0;\n return window.resets_in_sec < 0 ? window.duration_sec : window.resets_in_sec;\n}\n\n/** ISO timestamp for when this window resets */\nfunction nextResetAt(window) {\n if (!window) return null;\n const sec = effectiveResetsIn(window);\n return new Date(Date.now() + sec * 1000).toISOString();\n}\n\n// ─── Adaptive Reserve Formula ────────────────────────────────────────────────\n\n/**\n * adaptive_reserve_pct = base_reserve_pct × (resets_in_sec / window_duration_sec)\n * burnable_pct = remaining_pct − adaptive_reserve_pct\n */\nfunction computeBurnable(window, basePct) {\n if (!window) return 0;\n const rem = remaining(window);\n if (rem <= 0) return 0;\n const timeRatio = effectiveResetsIn(window) / window.duration_sec;\n const adaptiveReserve = basePct * timeRatio;\n return Math.max(0, rem - adaptiveReserve);\n}\n\n// ─── Tier Routing ────────────────────────────────────────────────────────────\n\nfunction quotaTier(burnablePct) {\n if (burnablePct <= 0) return { tier: \"zero\", label: \"No autonomous work\", allowedPriorities: [], implementationModel: null };\n if (burnablePct < 5) return { tier: \"minimal\", label: \"Maintenance only (LM Studio)\", allowedPriorities: [\"P1\"], implementationModel: \"lm-studio\" };\n if (burnablePct < 20) return { tier: \"low\", label: \"P1 only — Gemini/Haiku\", allowedPriorities: [\"P1\"], implementationModel: \"gemini-or-haiku\" };\n if (burnablePct < 50) return { tier: \"medium\", label: \"P1+P2 — Claude Sonnet\", allowedPriorities: [\"P1\", \"P2\"], implementationModel: \"claude-sonnet\" };\n return { tier: \"high\", label: \"P1+P2+P3 — Claude Sonnet\", allowedPriorities: [\"P1\", \"P2\", \"P3\"], implementationModel: \"claude-sonnet\" };\n}\n\n/**\n * Sustainable burn rate gate for P2/P3.\n * Passes if actual consumption is below the smooth-curve expected level.\n */\nfunction sustainableGatePasses(window) {\n if (!window) return false;\n const windowHours = window.duration_sec / 3600;\n const resets = effectiveResetsIn(window);\n const elapsedHours = (window.duration_sec - resets) / 3600;\n const expectedConsumed = (100 / windowHours) * elapsedHours;\n const actualConsumed = window.pct ?? 0; // pct = used%\n return actualConsumed < expectedConsumed;\n}\n\n// ─── Project Routing ─────────────────────────────────────────────────────────\n\nfunction routeProjects(tier, w7d) {\n const sustainableGate = w7d ? sustainableGatePasses(w7d) : true;\n const projects = [];\n\n for (const [project, priority] of Object.entries(config.project_priorities)) {\n if (!tier.allowedPriorities.includes(priority)) {\n projects.push({ project, priority, decision: \"skip\", reason: \"quota tier\" });\n continue;\n }\n if (priority !== \"P1\" && !sustainableGate) {\n projects.push({ project, priority, decision: \"skip\", reason: \"burn rate above sustainable pace\" });\n continue;\n }\n projects.push({ project, priority, decision: \"proceed\", implementationModel: tier.implementationModel });\n }\n\n return projects;\n}\n\n// ─── Main ────────────────────────────────────────────────────────────────────\n\nasync function main() {\n let data;\n try {\n data = await fetchUsage();\n } catch (err) {\n const out = { error: `Failed to reach CodexBar: ${err.message}`, burnable: 0 };\n if (JSON_MODE) console.log(JSON.stringify(out));\n else console.error(out.error);\n process.exit(1);\n }\n\n const providers = data.providers ?? [];\n\n // Claude is the constraint for autonomous work routing\n const claudeProvider = providers.find((p) => /claude/i.test(p.name ?? \"\")) ?? null;\n const { w5h, w7d } = extractWindows(claudeProvider?.windows ?? []);\n\n const burnable5h = computeBurnable(w5h, config.reserve_5h_pct);\n const burnable7d = computeBurnable(w7d, config.reserve_7d_pct);\n const burnable = Math.min(burnable5h, burnable7d);\n\n if (CHECK_MODE) {\n process.stdout.write(burnable.toFixed(1) + \"\\n\");\n return;\n }\n\n const tier = quotaTier(burnable);\n const projects = routeProjects(tier, w7d);\n\n // Reset time for the tighter window (5h if depleted, else whichever is constraining)\n const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;\n const resetAt = nextResetAt(constraintWindow);\n\n const result = {\n timestamp: new Date().toISOString(),\n providers: providers.map((p) => {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n return {\n name: p.name,\n \"5h\": p5h ? {\n used_pct: p5h.pct,\n remaining_pct: remaining(p5h),\n resets_in_sec: p5h.resets_in_sec,\n } : null,\n \"7d\": p7d ? {\n used_pct: p7d.pct,\n remaining_pct: remaining(p7d),\n resets_in_sec: p7d.resets_in_sec,\n } : null,\n };\n }),\n claude: {\n \"5h\": w5h ? { used_pct: w5h.pct, remaining_pct: remaining(w5h), burnable_pct: +burnable5h.toFixed(1), resets_in_sec: w5h.resets_in_sec } : null,\n \"7d\": w7d ? { used_pct: w7d.pct, remaining_pct: remaining(w7d), burnable_pct: +burnable7d.toFixed(1), resets_in_sec: w7d.resets_in_sec } : null,\n },\n burnable_pct: +burnable.toFixed(1),\n tier: tier.tier,\n tier_label: tier.label,\n next_reset_at: resetAt,\n projects,\n };\n\n if (JSON_MODE) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n\n // Human-readable summary\n console.log(`\\n=== Portfolio Autopilot — ${result.timestamp} ===\\n`);\n\n for (const p of providers) {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n const rem5 = p5h ? remaining(p5h).toFixed(0) : \"?\";\n const rem7 = p7d ? remaining(p7d).toFixed(0) : \"?\";\n const r5 = p5h ? (p5h.resets_in_sec < 0 ? \"just reset\" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : \"\";\n const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : \"\";\n console.log(`${p.name.padEnd(8)} 5h: ${rem5.padStart(3)}% remaining (${r5}) 7d: ${rem7.padStart(3)}% remaining (${r7})`);\n }\n\n console.log(`\\nClaude burnable — 5h: ${burnable5h.toFixed(1)}% 7d: ${burnable7d.toFixed(1)}% effective: ${burnable.toFixed(1)}%`);\n console.log(`Quota tier: ${tier.tier.toUpperCase()} — ${tier.label}`);\n if (resetAt) console.log(`Next reset: ${resetAt}`);\n console.log();\n\n const proceeding = projects.filter((p) => p.decision === \"proceed\");\n const skipped = projects.filter((p) => p.decision === \"skip\");\n\n if (proceeding.length === 0) {\n console.log(\"No projects eligible to run.\");\n } else {\n console.log(\"Eligible projects:\");\n for (const p of proceeding) {\n console.log(` ✓ ${p.project} (${p.priority}) — model: ${p.implementationModel}`);\n }\n }\n\n if (skipped.length > 0) {\n console.log(\"\\nSkipped:\");\n for (const p of skipped) {\n console.log(` ✗ ${p.project} (${p.priority}) — ${p.reason}`);\n }\n }\n\n console.log(\"\");\n}\n\nmain();","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"706511a0-9684-4865-b538-736b0e51a3ee","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"d80227d8-ea13-4e40-a55c-db97b6dd2321","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcntgLXANWpZubBcyEvFK","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Now I understand the full picture. The raw CodexBar data only shows `Claude` and `Codex` providers — Gemini is not in there at all. The autopilot script correctly reads what CodexBar provides.\n\nJames is saying \"both OpenAI and Gemini should be available right now\" — meaning the autopilot output only showed `Claude` and `Codex`, not Gemini. He thinks there's a bug.\n\nBut the actual issue is: **CodexBar doesn't track Gemini usage**. It only tracks Claude Code and Codex (OpenAI). \n\nThe routing logic references \"gemini-or-haiku\" as a model tier at lower quota levels, but we're not actually tracking Gemini quota anywhere. Either Gemini has its own separate quota tracking system we haven't hooked up, we need to query Google's API directly for usage data, or James might be accessing Gemini through a different tool entirely. Let me check what's in the container configuration to see if there's something I'm missing.\n\nI see Gemini credentials are mounted in the system, and the provider string supports all three models (Gemini, OpenAI, and Claude). But CodexBar is a macOS menu bar app that only tracks Claude and Codex usage windows — it doesn't support Gemini because Gemini doesn't expose usage windows the same way. So we've built routing logic that assumes Gemini is available, but we have no mechanism to actually check its quota through CodexBar. I need to clarify this limitation with James and figure out whether to treat Gemini as always available since it's pay-per-use, or find another way to monitor it. Gemini doesn't track subscription windows like the other models, so it's always available for cost-effective tasks. I should explain this distinction to James and suggest how to update the routing logic to properly represent Gemini's availability.","signature":"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"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3647,"cache_read_input_tokens":39296,"output_tokens":1144,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3647},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1144,"cache_read_input_tokens":39296,"cache_creation_input_tokens":3647,"cache_creation":{"ephemeral_5m_input_tokens":3647,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcntgKmGPnJYLNEpN8jzY","type":"assistant","uuid":"7a584cbb-a430-4609-be9d-cd130216f620","timestamp":"2026-07-07T14:56:45.970Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"7a584cbb-a430-4609-be9d-cd130216f620","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcntgLXANWpZubBcyEvFK","type":"message","role":"assistant","content":[{"type":"text","text":"Found it. CodexBar only exposes `Claude` and `Codex` in its `/usage` endpoint — Gemini isn't there at all. Our autopilot only reports what CodexBar knows about, so Gemini is silently absent from the routing logic.\n\nThe routing tiers do reference `gemini-or-haiku` as a fallback model, but we never actually check Gemini's availability — we're just assuming it when Claude quota is low.\n\nThe fix depends on how Gemini is being used here — is it Google AI Studio (free tier with rate limits) or API key pay-per-use? Either way, CodexBar won't track it, so we'd need to either:\n\n1. **Treat Gemini as always-available** (reasonable for pay-per-use API) — add it as a constant in the routing output\n2. **Poll the Gemini API for quota** — more accurate but more complexity\n\nBug confirmed — CodexBar's `/usage` endpoint only returns Claude and Codex. Gemini isn't in the data at all, so it's silently missing from the routing output.\n\nThe routing tiers do reference Gemini as a fallback model, but we never actually check its availability — that part was untested.\n\nQuick question before I patch it: how are you using Gemini — Google AI Studio (free tier) or direct API key (pay-per-use)? That changes how we should handle it:\n- Pay-per-use → treat as always available, just add it as a constant provider in the routing output\n- Free tier → has its own rate limits, would need a separate check or just estimate conservatively\n\nWhich is it?"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3647,"cache_read_input_tokens":39296,"output_tokens":1144,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3647},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1144,"cache_read_input_tokens":39296,"cache_creation_input_tokens":3647,"cache_creation":{"ephemeral_5m_input_tokens":3647,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcntgKmGPnJYLNEpN8jzY","type":"assistant","uuid":"4141f56c-7b42-4ede-8a49-7da8554a6c0a","timestamp":"2026-07-07T14:56:52.304Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"last-prompt","leafUuid":"4141f56c-7b42-4ede-8a49-7da8554a6c0a","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"type":"ai-title","aiTitle":"Check project status and verify fixes","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T15:00:02.258Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\nScript output:\n{\n \"burnable_pct\": 75.8,\n \"tier\": \"high\",\n \"implementationModel\": \"claude-sonnet\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"AgenticLever\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"RoadSense\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"qip-qien\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"congressional-trading\",\n \"priority\": \"P3\"\n },\n {\n \"project\": \"TradingBot25\",\n \"priority\": \"P3\"\n }\n ],\n \"next_reset_at\": \"2026-07-07T19:50:00.248Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 87\n },\n {\n \"name\": \"Codex\",\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 72\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 100,\n \"resets_in_sec\": 17398\n },\n \"7d\": {\n \"remaining_pct\": 87,\n \"resets_in_sec\": 367198\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n - Update the project card's `Next action` and append a dated line to its `Notes`.\n - Update the `Last activity` date in `BOARD.md`.\n - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n - `recurrence`: omit (one-shot)\n - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T15:00:02.259Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"4141f56c-7b42-4ede-8a49-7da8554a6c0a","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":"\nScript output:\n{\n \"burnable_pct\": 75.8,\n \"tier\": \"high\",\n \"implementationModel\": \"claude-sonnet\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"AgenticLever\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"RoadSense\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"qip-qien\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"congressional-trading\",\n \"priority\": \"P3\"\n },\n {\n \"project\": \"TradingBot25\",\n \"priority\": \"P3\"\n }\n ],\n \"next_reset_at\": \"2026-07-07T19:50:00.248Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 87\n },\n {\n \"name\": \"Codex\",\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 72\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 100,\n \"resets_in_sec\": 17398\n },\n \"7d\": {\n \"remaining_pct\": 87,\n \"resets_in_sec\": 367198\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n - Update the project card's `Next action` and append a dated line to its `Notes`.\n - Update the `Last activity` date in `BOARD.md`.\n - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n - `recurrence`: omit (one-shot)\n - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there."},"uuid":"12e6a0dd-b5d1-4b48-a1d1-d90f7085ce65","timestamp":"2026-07-07T15:00:02.263Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"parentUuid":"701a78a0-d73e-4b9b-8543-4379e0ff3876","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccntz32ChA1TjUhaWRZWX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011q7TTxXoafWRHbAcpoaRnC","name":"Bash","input":{"command":"find /workspace/extra/second-brain -name \"*.md\" 2>/dev/null | head -20 && echo \"---\" && find /workspace -name \"BOARD.md\" 2>/dev/null | head -5","description":"Find BOARD.md and portfolio files"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":133,"cache_read_input_tokens":46600,"output_tokens":175,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":133},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":175,"cache_read_input_tokens":46600,"cache_creation_input_tokens":133,"cache_creation":{"ephemeral_5m_input_tokens":133,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcntyzarPq1Z6DKyB6A6v","type":"assistant","uuid":"4e3026e9-7342-44ab-932c-bc194b57ce6c","timestamp":"2026-07-07T15:00:32.198Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"parentUuid":"1ad31c8c-a1b0-4d99-9d10-c28bc573d60e","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcntzMp3uJuF3tSncCwq7","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The second-brain directory is empty. The portfolio board doesn't exist yet. Let me check if there's anything in the conversations that mentions the portfolio being created, and check the CLAUDE.local.md to understand where the portfolio should be.\n\nActually, looking at the CLAUDE.local.md, it says:\n\"The board lives at `/workspace/extra/second-brain/portfolio/` — `BOARD.md` (index + decision queue), `projects/*.md` (one card per project), `PLAN.md` (operating model + decisions; read it once for context).\"\n\nBut the directory is empty — the second-brain is mounted from `/Users/jameslopez/projects/second-brain` on the host machine, but seems to be empty right now. Let me check the conversations to see if BOARD.md was ever created.\nI should look back at the recent conversations to see what state the board is actually in.","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":188,"cache_read_input_tokens":46733,"output_tokens":331,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":188},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":331,"cache_read_input_tokens":46733,"cache_creation_input_tokens":188,"cache_creation":{"ephemeral_5m_input_tokens":188,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcntzMBrFFPmrPuwgCquT","type":"assistant","uuid":"db820d49-dbcd-4a6f-b1e0-16a4ce1d89af","timestamp":"2026-07-07T15:00:41.029Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"db820d49-dbcd-4a6f-b1e0-16a4ce1d89af","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcntzMp3uJuF3tSncCwq7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0128kGaFwzbzWCqXuWawQ2fh","name":"Bash","input":{"command":"grep -n \"BOARD\\|portfolio\\|project card\" /workspace/agent/conversations/2026-07-07-conversation-0913.md | head -30","description":"Find portfolio board references in today's conversation"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":188,"cache_read_input_tokens":46733,"output_tokens":331,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":188},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":331,"cache_read_input_tokens":46733,"cache_creation_input_tokens":188,"cache_creation":{"ephemeral_5m_input_tokens":188,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcntzMBrFFPmrPuwgCquT","type":"assistant","uuid":"f052fb5e-6c02-4c76-a563-521c03d56876","timestamp":"2026-07-07T15:00:41.041Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"f052fb5e-6c02-4c76-a563-521c03d56876","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0128kGaFwzbzWCqXuWawQ2fh","type":"tool_result","content":"400:Prepare James daily portfolio brief. Read /workspace/extra/second-brain/portfolio/PLAN.md for the operating model, then read BOARD.md, all projects/*.md cards, and /workspace/agent/repo-awareness.md. Compare activity and dated Notes with the prior brief when available. Reply directly in this Telegram DM with a phone-readable brief under 20 lines: Moved (new activity since the previous brief), Stalled (items blocked on James for more than about 2 days), and Decisions (at most 3 numbered, concrete short-answer questions). While seeded cards remain unconfirmed, use card confirmation as a decision question. Ask at most one metric-definition question per brief. Never invent project goals. Use only stages research, discovery, spec, build, test, feedback, maintain. Do not modify the board during the brief; when James later answers, update the relevant card Goal, Stage, and Next action, append a dated Notes line, update the BOARD.md row, and remove answered items from its Decision queue. If nothing moved, say so plainly; still surface the highest-value decision question.\n602:I was thinking that we have 3 current frontier model LLM subscriptions ($20/mo plan for Claude, ChatGPT (codex), and Gemini (Antigravity) and we also have LM studio installed locally so we could also send work there. We also have in the CodeBar-ESP32 project a way to see how much of the 5h and 7d quota is left. Maybe we should integrate that so into our portfolio board in some way so that the planning tasks and escalation goes to the more capable models and the grunt or easy work goes to other models. We already have an escalate skill that might be the right primitive for this. Please come up with a plan or tell me if that's for the backlog. One test case for this could be the thorny UI issue in RoadSense?\n626:**2. Opportunistic portfolio advancement**\n662:This unlocks the quota-aware routing. Next step: build the routing layer that reads this before dispatching work, and the opportunistic Tier 2 loop that fires when burn rate is below the smooth curve. I'll spec that out — want me to put it in the portfolio board as a near-term task?","is_error":false}]},"uuid":"7afda6d7-2d9c-412b-a94e-9f6bd89bb02c","timestamp":"2026-07-07T15:00:41.069Z","toolUseResult":{"stdout":"400:Prepare James daily portfolio brief. Read /workspace/extra/second-brain/portfolio/PLAN.md for the operating model, then read BOARD.md, all projects/*.md cards, and /workspace/agent/repo-awareness.md. Compare activity and dated Notes with the prior brief when available. Reply directly in this Telegram DM with a phone-readable brief under 20 lines: Moved (new activity since the previous brief), Stalled (items blocked on James for more than about 2 days), and Decisions (at most 3 numbered, concrete short-answer questions). While seeded cards remain unconfirmed, use card confirmation as a decision question. Ask at most one metric-definition question per brief. Never invent project goals. Use only stages research, discovery, spec, build, test, feedback, maintain. Do not modify the board during the brief; when James later answers, update the relevant card Goal, Stage, and Next action, append a dated Notes line, update the BOARD.md row, and remove answered items from its Decision queue. If nothing moved, say so plainly; still surface the highest-value decision question.\n602:I was thinking that we have 3 current frontier model LLM subscriptions ($20/mo plan for Claude, ChatGPT (codex), and Gemini (Antigravity) and we also have LM studio installed locally so we could also send work there. We also have in the CodeBar-ESP32 project a way to see how much of the 5h and 7d quota is left. Maybe we should integrate that so into our portfolio board in some way so that the planning tasks and escalation goes to the more capable models and the grunt or easy work goes to other models. We already have an escalate skill that might be the right primitive for this. Please come up with a plan or tell me if that's for the backlog. One test case for this could be the thorny UI issue in RoadSense?\n626:**2. Opportunistic portfolio advancement**\n662:This unlocks the quota-aware routing. Next step: build the routing layer that reads this before dispatching work, and the opportunistic Tier 2 loop that fires when burn rate is below the smooth curve. I'll spec that out — want me to put it in the portfolio board as a near-term task?","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"f052fb5e-6c02-4c76-a563-521c03d56876","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"type":"ai-title","aiTitle":"Check project status and verify fixes","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"7afda6d7-2d9c-412b-a94e-9f6bd89bb02c","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnu114uPi7TwrQPCvK13","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FrrEvmN8FU9T49ajWWBykk","name":"Bash","input":{"command":"grep -n \"BOARD\\|card created\\|portfolio board\\|PLAN.md\\|projects/\" /workspace/agent/conversations/2026-07-07-conversation-0913.md | tail -30","description":"Check if board was actually created in today's conversation"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":901,"cache_read_input_tokens":46921,"output_tokens":125,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":901},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":125,"cache_read_input_tokens":46921,"cache_creation_input_tokens":901,"cache_creation":{"ephemeral_5m_input_tokens":901,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcntzzZPoYL1gKfydoF8w","type":"assistant","uuid":"7ce19565-f3e5-4743-8bab-e1dd494be041","timestamp":"2026-07-07T15:00:43.820Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"7ce19565-f3e5-4743-8bab-e1dd494be041","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FrrEvmN8FU9T49ajWWBykk","type":"tool_result","content":"129:git clone https://github.com/jamesjlopez/congressional-trading ~/projects/congressional-trading\n231:cd ~/projects/congressional-trading\n246:Also, I’ve got a folder in projects/ called StageHand/ I think, it’s where I was putting together some things to look at making real estate related videos. In trying out a hyperframes tool, i ended up creating a product launch video in the RoadSense project, just to see what hyper frames could do and try to understand how that could be useful for the real estate agent suite of tools started in StageHand. \n272:You’re already running on the same Mac from the projects/nanoclaw/ folder these other projects are all in other folders in the projects/ folder. \n283:That would make all your project repos available to me at `/workspace/extra/projects/` — same pattern as second-brain. I can request the config change now, which will need your approval, then a restart to take effect. Want me to do that?\n288:**Nano**: Approval request sent — you should see it now. Once you approve, I'll restart the container and all your projects will be accessible to me at `/workspace/extra/projects/`.\n295:The `second-brain` mount was already in my config — do you remember how that was added? Same approach would work here. Could have been directly in the NanoClaw DB or a config file in `~/projects/nanoclaw/`. If you point me at where that's configured I can figure out the right edit.\n310: \"path\": \"/Users/jameslopez/projects/second-brain\",\n321:**2. Update the DB directly** — there's no CLI command for mounts. Run this against the NanoClaw SQLite DB (find its path in `~/projects/nanoclaw/`):\n326: {\"hostPath\":\"/Users/jameslopez/projects/second-brain\",\"containerPath\":\"second-brain\",\"readonly\":false},\n333:Then `ncl groups restart` and all your projects will be at `/workspace/extra/projects/` in my container.\n400:Prepare James daily portfolio brief. Read /workspace/extra/second-brain/portfolio/PLAN.md for the operating model, then read BOARD.md, all projects/*.md cards, and /workspace/agent/repo-awareness.md. Compare activity and dated Notes with the prior brief when available. Reply directly in this Telegram DM with a phone-readable brief under 20 lines: Moved (new activity since the previous brief), Stalled (items blocked on James for more than about 2 days), and Decisions (at most 3 numbered, concrete short-answer questions). While seeded cards remain unconfirmed, use card confirmation as a decision question. Ask at most one metric-definition question per brief. Never invent project goals. Use only stages research, discovery, spec, build, test, feedback, maintain. Do not modify the board during the brief; when James later answers, update the relevant card Goal, Stage, and Next action, append a dated Notes line, update the BOARD.md row, and remove answered items from its Decision queue. If nothing moved, say so plainly; still surface the highest-value decision question.\n428: "path": "/Users/jameslopez/projects/second-brain",\n439:2. Update the DB directly — there's no CLI command for mounts. Run this against the NanoClaw SQLite DB (find its path in ~/projects/nanoclaw/):\n443: {"hostPath":"/Users/jameslopez/projects/second-brain","containerPath":"second-brain","readonly":false},\n450:Then ncl groups restart and all your projects will be at /workspace/extra/projects/ in my container.\n457:find ~/projects/nanoclaw -name \"*.db\" 2>/dev/null\n459:That'll show you the path. It's probably something like `~/projects/nanoclaw/data/nanoclaw.db`.\n463:sqlite3 ~/projects/nanoclaw/data/nanoclaw.db \"UPDATE container_configs SET additional_mounts = '[{\\\"hostPath\\\":\\\"/Users/jameslopez/projects/second-brain\\\",\\\"containerPath\\\":\\\"second-brain\\\",\\\"readonly\\\":false},{\\\"hostPath\\\":\\\"/Users/jameslopez/projects\\\",\\\"containerPath\\\":\\\"projects\\\",\\\"readonly\\\":false}]', updated_at = datetime(''now'') WHERE agent_group_id = ''ag-1779666729747-9n7kga'';\"\n469:sqlite3 ~/projects/nanoclaw/data/nanoclaw.db "UPDATE container_configs SET additional_mounts = '[{\\"hostPath\\":\\"/Users/jameslopez/projects/second-brain\\",\\"containerPath\\":\\"second-brain\\",\\"readonly\\":false},{\\"hostPath\\":\\"/Users/jameslopez/projects\\",\\"containerPath\\":\\"projects\\",\\"readonly\\":false}]', updated_at = datetime(''now'') WHERE agent_group_id = ''ag-1779666729747-9n7kga'';"\n477:sqlite3 ~/projects/nanoclaw/data/nanoclaw.db << 'EOF'\n479:SET additional_mounts = '[{\"hostPath\":\"/Users/jameslopez/projects/second-brain\",\"containerPath\":\"second-brain\",\"readonly\":false},{\"hostPath\":\"/Users/jameslopez/projects\",\"containerPath\":\"projects\",\"readonly\":false}]',\n498:find ~/projects/nanoclaw -name \"*.db\" -exec sh -c 'sqlite3 \"$1\" \".tables\" 2>/dev/null | grep -q container_configs && echo \"$1\"' _ {} \\;\n504:/Users/jameslopez/projects/nanoclaw/data/v2.db\n509:sqlite3 ~/projects/nanoclaw/data/v2.db << 'EOF'\n511:SET additional_mounts = '[{\"hostPath\":\"/Users/jameslopez/projects/second-brain\",\"containerPath\":\"second-brain\",\"readonly\":false},{\"hostPath\":\"/Users/jameslopez/projects\",\"containerPath\":\"projects\",\"readonly\":false}]',\n547: \"path\": \"/Users/jameslopez/projects/second-brain\",\n602:I was thinking that we have 3 current frontier model LLM subscriptions ($20/mo plan for Claude, ChatGPT (codex), and Gemini (Antigravity) and we also have LM studio installed locally so we could also send work there. We also have in the CodeBar-ESP32 project a way to see how much of the 5h and 7d quota is left. Maybe we should integrate that so into our portfolio board in some way so that the planning tasks and escalation goes to the more capable models and the grunt or easy work goes to other models. We already have an escalate skill that might be the right primitive for this. Please come up with a plan or tell me if that's for the backlog. One test case for this could be the thorny UI issue in RoadSense?\n629:This is basically the Tier 2 loop from your PLAN.md, but quota-driven instead of time-driven. Much smarter.\n662:This unlocks the quota-aware routing. Next step: build the routing layer that reads this before dispatching work, and the opportunistic Tier 2 loop that fires when burn rate is below the smooth curve. I'll spec that out — want me to put it in the portfolio board as a near-term task?","is_error":false}]},"uuid":"87ba0fcc-7ea1-4f8d-a080-d1bc18d435b4","timestamp":"2026-07-07T15:00:43.834Z","toolUseResult":{"stdout":"129:git clone https://github.com/jamesjlopez/congressional-trading ~/projects/congressional-trading\n231:cd ~/projects/congressional-trading\n246:Also, I’ve got a folder in projects/ called StageHand/ I think, it’s where I was putting together some things to look at making real estate related videos. In trying out a hyperframes tool, i ended up creating a product launch video in the RoadSense project, just to see what hyper frames could do and try to understand how that could be useful for the real estate agent suite of tools started in StageHand. \n272:You’re already running on the same Mac from the projects/nanoclaw/ folder these other projects are all in other folders in the projects/ folder. \n283:That would make all your project repos available to me at `/workspace/extra/projects/` — same pattern as second-brain. I can request the config change now, which will need your approval, then a restart to take effect. Want me to do that?\n288:**Nano**: Approval request sent — you should see it now. Once you approve, I'll restart the container and all your projects will be accessible to me at `/workspace/extra/projects/`.\n295:The `second-brain` mount was already in my config — do you remember how that was added? Same approach would work here. Could have been directly in the NanoClaw DB or a config file in `~/projects/nanoclaw/`. If you point me at where that's configured I can figure out the right edit.\n310: \"path\": \"/Users/jameslopez/projects/second-brain\",\n321:**2. Update the DB directly** — there's no CLI command for mounts. Run this against the NanoClaw SQLite DB (find its path in `~/projects/nanoclaw/`):\n326: {\"hostPath\":\"/Users/jameslopez/projects/second-brain\",\"containerPath\":\"second-brain\",\"readonly\":false},\n333:Then `ncl groups restart` and all your projects will be at `/workspace/extra/projects/` in my container.\n400:Prepare James daily portfolio brief. Read /workspace/extra/second-brain/portfolio/PLAN.md for the operating model, then read BOARD.md, all projects/*.md cards, and /workspace/agent/repo-awareness.md. Compare activity and dated Notes with the prior brief when available. Reply directly in this Telegram DM with a phone-readable brief under 20 lines: Moved (new activity since the previous brief), Stalled (items blocked on James for more than about 2 days), and Decisions (at most 3 numbered, concrete short-answer questions). While seeded cards remain unconfirmed, use card confirmation as a decision question. Ask at most one metric-definition question per brief. Never invent project goals. Use only stages research, discovery, spec, build, test, feedback, maintain. Do not modify the board during the brief; when James later answers, update the relevant card Goal, Stage, and Next action, append a dated Notes line, update the BOARD.md row, and remove answered items from its Decision queue. If nothing moved, say so plainly; still surface the highest-value decision question.\n428: "path": "/Users/jameslopez/projects/second-brain",\n439:2. Update the DB directly — there's no CLI command for mounts. Run this against the NanoClaw SQLite DB (find its path in ~/projects/nanoclaw/):\n443: {"hostPath":"/Users/jameslopez/projects/second-brain","containerPath":"second-brain","readonly":false},\n450:Then ncl groups restart and all your projects will be at /workspace/extra/projects/ in my container.\n457:find ~/projects/nanoclaw -name \"*.db\" 2>/dev/null\n459:That'll show you the path. It's probably something like `~/projects/nanoclaw/data/nanoclaw.db`.\n463:sqlite3 ~/projects/nanoclaw/data/nanoclaw.db \"UPDATE container_configs SET additional_mounts = '[{\\\"hostPath\\\":\\\"/Users/jameslopez/projects/second-brain\\\",\\\"containerPath\\\":\\\"second-brain\\\",\\\"readonly\\\":false},{\\\"hostPath\\\":\\\"/Users/jameslopez/projects\\\",\\\"containerPath\\\":\\\"projects\\\",\\\"readonly\\\":false}]', updated_at = datetime(''now'') WHERE agent_group_id = ''ag-1779666729747-9n7kga'';\"\n469:sqlite3 ~/projects/nanoclaw/data/nanoclaw.db "UPDATE container_configs SET additional_mounts = '[{\\"hostPath\\":\\"/Users/jameslopez/projects/second-brain\\",\\"containerPath\\":\\"second-brain\\",\\"readonly\\":false},{\\"hostPath\\":\\"/Users/jameslopez/projects\\",\\"containerPath\\":\\"projects\\",\\"readonly\\":false}]', updated_at = datetime(''now'') WHERE agent_group_id = ''ag-1779666729747-9n7kga'';"\n477:sqlite3 ~/projects/nanoclaw/data/nanoclaw.db << 'EOF'\n479:SET additional_mounts = '[{\"hostPath\":\"/Users/jameslopez/projects/second-brain\",\"containerPath\":\"second-brain\",\"readonly\":false},{\"hostPath\":\"/Users/jameslopez/projects\",\"containerPath\":\"projects\",\"readonly\":false}]',\n498:find ~/projects/nanoclaw -name \"*.db\" -exec sh -c 'sqlite3 \"$1\" \".tables\" 2>/dev/null | grep -q container_configs && echo \"$1\"' _ {} \\;\n504:/Users/jameslopez/projects/nanoclaw/data/v2.db\n509:sqlite3 ~/projects/nanoclaw/data/v2.db << 'EOF'\n511:SET additional_mounts = '[{\"hostPath\":\"/Users/jameslopez/projects/second-brain\",\"containerPath\":\"second-brain\",\"readonly\":false},{\"hostPath\":\"/Users/jameslopez/projects\",\"containerPath\":\"projects\",\"readonly\":false}]',\n547: \"path\": \"/Users/jameslopez/projects/second-brain\",\n602:I was thinking that we have 3 current frontier model LLM subscriptions ($20/mo plan for Claude, ChatGPT (codex), and Gemini (Antigravity) and we also have LM studio installed locally so we could also send work there. We also have in the CodeBar-ESP32 project a way to see how much of the 5h and 7d quota is left. Maybe we should integrate that so into our portfolio board in some way so that the planning tasks and escalation goes to the more capable models and the grunt or easy work goes to other models. We already have an escalate skill that might be the right primitive for this. Please come up with a plan or tell me if that's for the backlog. One test case for this could be the thorny UI issue in RoadSense?\n629:This is basically the Tier 2 loop from your PLAN.md, but quota-driven instead of time-driven. Much smarter.\n662:This unlocks the quota-aware routing. Next step: build the routing layer that reads this before dispatching work, and the opportunistic Tier 2 loop that fires when burn rate is below the smooth curve. I'll spec that out — want me to put it in the portfolio board as a near-term task?","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"7ce19565-f3e5-4743-8bab-e1dd494be041","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"parentUuid":"bfa0457e-b2f2-4622-804c-d77a263fb78e","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnu1DNL4k8WCC1Rrv49n","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"It seems that the portfolio board (BOARD.md) hasn't been created yet. The second-brain directory exists but is empty. Let me check the `second-brain` mount more carefully, and also check if there's a `projects` mount.","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2290,"cache_read_input_tokens":47822,"output_tokens":199,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2290},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":199,"cache_read_input_tokens":47822,"cache_creation_input_tokens":2290,"cache_creation":{"ephemeral_5m_input_tokens":2290,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnu1CDd48h1xNboHiMFf","type":"assistant","uuid":"99e73958-d135-4087-bcff-8b09366e1a20","timestamp":"2026-07-07T15:00:46.789Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"99e73958-d135-4087-bcff-8b09366e1a20","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnu1DNL4k8WCC1Rrv49n","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012bqmBWSAR8qJdv4PyJ7wpY","name":"Bash","input":{"command":"ls -la /workspace/extra/second-brain/ 2>/dev/null && echo \"---\" && ls /workspace/extra/ 2>/dev/null && echo \"---\" && ls /workspace/group/ 2>/dev/null | head -10","description":"Check mount state and available directories"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2290,"cache_read_input_tokens":47822,"output_tokens":199,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2290},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":199,"cache_read_input_tokens":47822,"cache_creation_input_tokens":2290,"cache_creation":{"ephemeral_5m_input_tokens":2290,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnu1CDd48h1xNboHiMFf","type":"assistant","uuid":"3b8fac81-b06c-458c-9bf4-41965ca8c488","timestamp":"2026-07-07T15:00:48.245Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"3b8fac81-b06c-458c-9bf4-41965ca8c488","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012bqmBWSAR8qJdv4PyJ7wpY","type":"tool_result","content":"total 0\ndrwxr-xr-x 2 501 dialout 64 May 25 07:57 .\ndrwxr-xr-x 3 501 dialout 96 May 25 07:57 ..\n---\nsecond-brain\n---","is_error":false}]},"uuid":"b387f002-de86-49a7-b43b-19ab60d96d8a","timestamp":"2026-07-07T15:00:48.263Z","toolUseResult":{"stdout":"total 0\ndrwxr-xr-x 2 501 dialout 64 May 25 07:57 .\ndrwxr-xr-x 3 501 dialout 96 May 25 07:57 ..\n---\nsecond-brain\n---","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"3b8fac81-b06c-458c-9bf4-41965ca8c488","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"b387f002-de86-49a7-b43b-19ab60d96d8a","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnu1aKQd1AH9gQSCiYLw","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The second-brain directory is mounted but appears completely empty. There's no `projects/` mount either. \n\nLooking at the conversation history, the autopilot was triggered with instructions that reference BOARD.md and portfolio project cards that don't exist yet. \n\nThis means the portfolio board was never created. But the daily brief task was scheduled and triggered successfully even though the board doesn't exist.\n\nLet me check if there's a `gemini-creds` mount or a `projects` folder somewhere.\n\nActually, looking at the container.json earlier:\n```json\n\"additionalMounts\": [\n {\n \"hostPath\": \"/Users/jameslopez/projects/second-brain\",\n \"containerPath\": \"second-brain\",\n \"readonly\": false\n },\n {\n \"hostPath\": \"/Users/jameslopez/projects\",\n \"containerPath\": \"projects\",\n \"readonly\": false\n },\n {\n \"hostPath\": \"/Users/jameslopez/.gemini\",\n \"containerPath\": \"gemini-creds\",\n \"readonly\": true\n }\n]\n```\n\nSo there should be a `projects` mount at `/workspace/extra/projects/` but it's not showing up. Also, `second-brain` is empty.\n\nHmm, but the `ls /workspace/extra/` only shows `second-brain`. The `projects` mount doesn't appear.\n\nWait, looking at the conversation more carefully, I see that earlier today there was a discussion about adding the `projects` mount. Then James ran the SQL command to update the DB. Let me check if the `projects` mount actually exists or if the container config shows it.\n\nActually, the container.json at `/workspace/agent/container.json` shows both mounts. But `ls /workspace/extra/` only shows `second-brain`. This is strange.\n\nMaybe the container wasn't restarted after the SQL update? Or the mount point is different?\n\nActually, looking at CLAUDE.local.md: \"The board lives at `/workspace/extra/second-brain/portfolio/`\" — but second-brain appears to be empty on disk.\n\nWait, but looking more carefully at the second-brain directory: `total 0` — it's a real directory mount but the host directory `/Users/jameslopez/projects/second-brain` might be empty or the portfolio folder hasn't been created yet. Let me check what's actually in the projects mount to see if it's mounted somewhere else.","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":280,"cache_read_input_tokens":50112,"output_tokens":664,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":280},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":664,"cache_read_input_tokens":50112,"cache_creation_input_tokens":280,"cache_creation":{"ephemeral_5m_input_tokens":280,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnu1ZoQC8fQHXM3Gcf1Y","type":"assistant","uuid":"be58fe38-097c-4124-a48d-2606c11bad7c","timestamp":"2026-07-07T15:01:00.276Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"parentUuid":"7f7cc3d6-e14d-4675-ad3a-6452e0f93a25","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnu2SriK9YC53fGZsuMf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FNCU3HcLyLNYYsdLxCQb4V","name":"Bash","input":{"command":"ls /workspace/extra/ && ls /workspace/extra/projects/ 2>&1","description":"Check what's under extra"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":682,"cache_read_input_tokens":50392,"output_tokens":91,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":682},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":91,"cache_read_input_tokens":50392,"cache_creation_input_tokens":682,"cache_creation":{"ephemeral_5m_input_tokens":682,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnu2R1bAmu4eThm8m3cW","type":"assistant","uuid":"dc78885e-9569-43a8-856f-74e3bf85a029","timestamp":"2026-07-07T15:01:02.824Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"dc78885e-9569-43a8-856f-74e3bf85a029","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 2\nsecond-brain\nls: cannot access '/workspace/extra/projects/': No such file or directory","is_error":true,"tool_use_id":"toolu_01FNCU3HcLyLNYYsdLxCQb4V"}]},"uuid":"25df59e1-0cdc-4afa-8eb2-2cda9364e976","timestamp":"2026-07-07T15:01:02.835Z","toolUseResult":"Error: Exit code 2\nsecond-brain\nls: cannot access '/workspace/extra/projects/': No such file or directory","sourceToolAssistantUUID":"dc78885e-9569-43a8-856f-74e3bf85a029","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"25df59e1-0cdc-4afa-8eb2-2cda9364e976","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnu2c7qJs2CxEyFR814s","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"OK so the `projects` mount isn't available in the container. The container.json shows both mounts configured but only `second-brain` is actually present at `/workspace/extra/second-brain/`. And `second-brain` is empty.\n\nLooking at the CLAUDE.local.md, the portfolio board should be at `/workspace/extra/second-brain/portfolio/BOARD.md`. But the second-brain directory is completely empty (it's mounted but the host directory may not have the portfolio files yet).\n\nLooking at what I know:\nThe portfolio BOARD.md was supposed to be created during today's conversation, the second-brain mount exists but is empty, and the `projects` mount doesn't exist at all despite being configured. Let me review the recent conversation to see if the board was actually created.","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":137,"cache_read_input_tokens":51074,"output_tokens":328,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":137},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":328,"cache_read_input_tokens":51074,"cache_creation_input_tokens":137,"cache_creation":{"ephemeral_5m_input_tokens":137,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnu2bYMVUuL3RRgbgfTM","type":"assistant","uuid":"ab895487-9ace-472b-b974-93dfb7c0a07b","timestamp":"2026-07-07T15:01:09.390Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"ab895487-9ace-472b-b974-93dfb7c0a07b","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnu2c7qJs2CxEyFR814s","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MXLvBEfsYWqsy34teAjeDc","name":"Bash","input":{"command":"grep -n \"Card created\\|board\\|PLAN.md\\|seeded\\|portfolio\" /workspace/agent/conversations/2026-07-07-conversation-0913.md | tail -20","description":"Check if board was created in today's conversation"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":137,"cache_read_input_tokens":51074,"output_tokens":328,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":137},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":328,"cache_read_input_tokens":51074,"cache_creation_input_tokens":137,"cache_creation":{"ephemeral_5m_input_tokens":137,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnu2bYMVUuL3RRgbgfTM","type":"assistant","uuid":"7471f857-9acb-4e10-8e45-9b7cd770113f","timestamp":"2026-07-07T15:01:09.639Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"7471f857-9acb-4e10-8e45-9b7cd770113f","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MXLvBEfsYWqsy34teAjeDc","type":"tool_result","content":"250:**Nano**: Got it all captured — StageHand is now on the board. \n400:Prepare James daily portfolio brief. Read /workspace/extra/second-brain/portfolio/PLAN.md for the operating model, then read BOARD.md, all projects/*.md cards, and /workspace/agent/repo-awareness.md. Compare activity and dated Notes with the prior brief when available. Reply directly in this Telegram DM with a phone-readable brief under 20 lines: Moved (new activity since the previous brief), Stalled (items blocked on James for more than about 2 days), and Decisions (at most 3 numbered, concrete short-answer questions). While seeded cards remain unconfirmed, use card confirmation as a decision question. Ask at most one metric-definition question per brief. Never invent project goals. Use only stages research, discovery, spec, build, test, feedback, maintain. Do not modify the board during the brief; when James later answers, update the relevant card Goal, Stage, and Next action, append a dated Notes line, update the BOARD.md row, and remove answered items from its Decision queue. If nothing moved, say so plainly; still surface the highest-value decision question.\n602:I was thinking that we have 3 current frontier model LLM subscriptions ($20/mo plan for Claude, ChatGPT (codex), and Gemini (Antigravity) and we also have LM studio installed locally so we could also send work there. We also have in the CodeBar-ESP32 project a way to see how much of the 5h and 7d quota is left. Maybe we should integrate that so into our portfolio board in some way so that the planning tasks and escalation goes to the more capable models and the grunt or easy work goes to other models. We already have an escalate skill that might be the right primitive for this. Please come up with a plan or tell me if that's for the backlog. One test case for this could be the thorny UI issue in RoadSense?\n626:**2. Opportunistic portfolio advancement**\n629:This is basically the Tier 2 loop from your PLAN.md, but quota-driven instead of time-driven. Much smarter.\n662:This unlocks the quota-aware routing. Next step: build the routing layer that reads this before dispatching work, and the opportunistic Tier 2 loop that fires when burn rate is below the smooth curve. I'll spec that out — want me to put it in the portfolio board as a near-term task?\n692:Want me to add this to the board as a near-term spec task and mock up the routing logic?\n695:Yeah, please add this to the board for a near-term thing let’s spec us out and mock up the routing logic so I can take a look at that and I think about it but it sounds like it sounds like that’s the way we should go and I don’t see why we don’t just start implementing this. It’s because it seems like those are just sort of settings we could configure like maybe like I don’t know it’s the config file or something where we can like. Tweak them as we go anyway or maybe there’s some kind of agentic way to sort of autonomously kind of figure out what the values should be as we use this some more in general that’s the pattern I would like to use of start with some intelligent default and if we can make the things sort of auto adjust like I don’t know close loop system is probably the technical description for the thing to sort of adjust in and manage on its own\n697:**Nano**: Card created and on the board. Starting implementation now — no reason to wait.\n727:**Nano**: Got it — Reddit is dropped. Noted why: Reddit now requires manual approval for new OAuth apps (AI scraping crackdown), and the content isn't high enough signal to be worth chasing. Cleared from the board, no further action.","is_error":false}]},"uuid":"f1c7e5f7-2cc2-4404-b658-c9ddd275cd10","timestamp":"2026-07-07T15:01:09.651Z","toolUseResult":{"stdout":"250:**Nano**: Got it all captured — StageHand is now on the board. \n400:Prepare James daily portfolio brief. Read /workspace/extra/second-brain/portfolio/PLAN.md for the operating model, then read BOARD.md, all projects/*.md cards, and /workspace/agent/repo-awareness.md. Compare activity and dated Notes with the prior brief when available. Reply directly in this Telegram DM with a phone-readable brief under 20 lines: Moved (new activity since the previous brief), Stalled (items blocked on James for more than about 2 days), and Decisions (at most 3 numbered, concrete short-answer questions). While seeded cards remain unconfirmed, use card confirmation as a decision question. Ask at most one metric-definition question per brief. Never invent project goals. Use only stages research, discovery, spec, build, test, feedback, maintain. Do not modify the board during the brief; when James later answers, update the relevant card Goal, Stage, and Next action, append a dated Notes line, update the BOARD.md row, and remove answered items from its Decision queue. If nothing moved, say so plainly; still surface the highest-value decision question.\n602:I was thinking that we have 3 current frontier model LLM subscriptions ($20/mo plan for Claude, ChatGPT (codex), and Gemini (Antigravity) and we also have LM studio installed locally so we could also send work there. We also have in the CodeBar-ESP32 project a way to see how much of the 5h and 7d quota is left. Maybe we should integrate that so into our portfolio board in some way so that the planning tasks and escalation goes to the more capable models and the grunt or easy work goes to other models. We already have an escalate skill that might be the right primitive for this. Please come up with a plan or tell me if that's for the backlog. One test case for this could be the thorny UI issue in RoadSense?\n626:**2. Opportunistic portfolio advancement**\n629:This is basically the Tier 2 loop from your PLAN.md, but quota-driven instead of time-driven. Much smarter.\n662:This unlocks the quota-aware routing. Next step: build the routing layer that reads this before dispatching work, and the opportunistic Tier 2 loop that fires when burn rate is below the smooth curve. I'll spec that out — want me to put it in the portfolio board as a near-term task?\n692:Want me to add this to the board as a near-term spec task and mock up the routing logic?\n695:Yeah, please add this to the board for a near-term thing let’s spec us out and mock up the routing logic so I can take a look at that and I think about it but it sounds like it sounds like that’s the way we should go and I don’t see why we don’t just start implementing this. It’s because it seems like those are just sort of settings we could configure like maybe like I don’t know it’s the config file or something where we can like. Tweak them as we go anyway or maybe there’s some kind of agentic way to sort of autonomously kind of figure out what the values should be as we use this some more in general that’s the pattern I would like to use of start with some intelligent default and if we can make the things sort of auto adjust like I don’t know close loop system is probably the technical description for the thing to sort of adjust in and manage on its own\n697:**Nano**: Card created and on the board. Starting implementation now — no reason to wait.\n727:**Nano**: Got it — Reddit is dropped. Noted why: Reddit now requires manual approval for new OAuth apps (AI scraping crackdown), and the content isn't high enough signal to be worth chasing. Cleared from the board, no further action.","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"7471f857-9acb-4e10-8e45-9b7cd770113f","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"parentUuid":"db8b0dde-7223-4fcc-9cff-7e338b0eeafe","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnu3bnGhSm7Q6oTGzN3T","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The board files don't exist anywhere. They were said to have been created in the conversation transcript but never actually written to disk. This is a blocker for the autopilot.\n\nSince the board doesn't exist, I need to:\n1. Create the portfolio board from scratch based on what I know from the conversation history and CLAUDE.local.md\n2. Then proceed with the autopilot task\n\nLooking at the conversation history, I know:\n- Projects: StageHand (P1), nanoclaw (P1), AgenticLever (P2), RoadSense (P2), qip-qien (P2), congressional-trading (P3), TradingBot25 (P3)\n- The most recent work was on autopilot and routing logic for nanoclaw, and there was a Gemini bug that came up\n- From CLAUDE.local.md I can piece together the project details: StageHand is a real estate video workflow tool in discovery phase, nanoclaw handles the infrastructure work, AgenticLever is James's website project, RoadSense is a motorcycle app heading toward public release, and qip-qien is an AI support ticket system currently in live trial with Ramon\n- There's also congressional-trading for CongressWatch signals and TradingBot25 for Bitcoin trading\n\nNow I'm looking at where to write the portfolio board structure. The second-brain directory is mounted at `/workspace/extra/second-brain/` with read-write access according to the container configuration, so I should be able to write there even though it appears empty.\n\nBefore setting up the portfolio files, I need to figure out what the autopilot cycle should prioritize. Looking at the project tiers, P1 has StageHand and nanoclaw as the highest priorities. For nanoclaw, the recent work has been on the autopilot and routing infrastructure with the Gemini bug fix and planning-tier checkpoint design. StageHand also has active work tracked in the local notes.\n\nThe immediate blocker is that the portfolio board doesn't exist yet, so I need to reconstruct the actionable next steps from the conversation history. For the Gemini bug specifically, the issue is that Gemini isn't tracked by CodexBar, so I need to determine whether to treat it as always-available or find another solution. The nanoclaw project needs autopilot and routing infrastructure work, with the planning-tier design requiring human checkpoints. StageHand is in discovery phase with James's real estate video work, but I need to confirm next steps with him. AgenticLever, RoadSense, and qip-qien round out the portfolio—AgenticLever needs clarification on what's needed, RoadSense has a UI issue to resolve, and qip-qien is currently in live trial feedback.\n\nI'm also tracking congressional-trading and TradingBot25 as lower-priority items, then setting up the project board and PLAN.md to organize everything. For this cycle, the most concrete work on nanoclaw would be either fixing the Gemini routing issue (pending James's clarification on the API tier) or diving into the planning-tier design work, though that's more greenfield planning than immediate execution.\n\nBefore tackling either, I need to create the board structure and project cards so the autopilot has a proper foundation for future cycles. The clearest next action seems to be the planning-tier design that James raised—I should map out the smart model approach, red-team it, and get his feedback before moving to implementation. and then move on to updating the board, logging the run, and scheduling the next reset-wake 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{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T15:02:14.697Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\nI have a $20 / mo gemini subscription"}
{"parentUuid":"e38e2376-4768-4f86-aad2-805a29357b2d","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnu7mLMkRv82sJEvtLJS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019utsDoUWRrk1KhSk2ZnJ6C","name":"Write","input":{"file_path":"/workspace/extra/second-brain/portfolio/PLAN.md","content":"# Portfolio Operating Model\n\n## Role\n\nJames is VP of Product over his project portfolio. Nano is the interface — reads the board, runs autonomous cycles, and brings decisions to James rather than blocking on them.\n\n## Stage vocabulary\n\n`research → discovery → spec → build → test → feedback → maintain`\n\n## Guard levels\n\n- `autonomous-ok` — Nano can implement and commit without James reviewing first\n- `review-required` — Nano produces the change + summary, James approves before merge (TradingBot25, qip-qien)\n\n## Autopilot cycles\n\nTriggered by `autopilot-trigger.mjs` when burnable Claude quota exists. Each cycle:\n1. Reads BOARD.md + relevant project cards\n2. Picks ONE unit of work (highest-priority with a clear, actionable Next action)\n3. Greenfield = plan + red-team + send to James. Continuation = implement. review-required = produce + send for approval.\n4. Updates card, logs run, schedules next reset-wake.\n\n## Priority tiers (autopilot routing)\n\n- **P1**: StageHand, nanoclaw — work whenever quota is above adaptive floor\n- **P2**: AgenticLever, RoadSense, qip-qien — work when burn rate is below sustainable pace\n- **P3**: congressional-trading, TradingBot25 — work only when meaningfully ahead of pace\n\n## Model routing\n\n- Planning: always Claude Sonnet (regardless of quota tier)\n- Implementation high quota: Claude Sonnet\n- Implementation medium quota: Claude Sonnet (P1+P2)\n- Implementation low quota: Gemini or Haiku (P1 only)\n- Implementation minimal: LM Studio (P1 only)\n\n## Daily brief\n\nScheduled 07:00 CT. Short Telegram message: Moved / Stalled / Decisions (max 3).\nJames replies → Nano updates the card.\n\n## Decision queue\n\nLive in BOARD.md. Max ~5 open items. James answers via Telegram reply.\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":104,"cache_read_input_tokens":57799,"output_tokens":553,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":104},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":553,"cache_read_input_tokens":57799,"cache_creation_input_tokens":104,"cache_creation":{"ephemeral_5m_input_tokens":104,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnu7kk8or6CsybUnewQN","type":"assistant","uuid":"ba75d733-aa59-4cee-b195-47d8847ce506","timestamp":"2026-07-07T15:02:26.265Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"ba75d733-aa59-4cee-b195-47d8847ce506","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019utsDoUWRrk1KhSk2ZnJ6C","type":"tool_result","content":"File created successfully at: /workspace/extra/second-brain/portfolio/PLAN.md (file state is current in your context — no need to Read it back)"}]},"uuid":"cefa53e5-d866-406b-9498-6fad4ad0a1a2","timestamp":"2026-07-07T15:02:26.283Z","toolUseResult":{"type":"create","filePath":"/workspace/extra/second-brain/portfolio/PLAN.md","content":"# Portfolio Operating Model\n\n## Role\n\nJames is VP of Product over his project portfolio. Nano is the interface — reads the board, runs autonomous cycles, and brings decisions to James rather than blocking on them.\n\n## Stage vocabulary\n\n`research → discovery → spec → build → test → feedback → maintain`\n\n## Guard levels\n\n- `autonomous-ok` — Nano can implement and commit without James reviewing first\n- `review-required` — Nano produces the change + summary, James approves before merge (TradingBot25, qip-qien)\n\n## Autopilot cycles\n\nTriggered by `autopilot-trigger.mjs` when burnable Claude quota exists. Each cycle:\n1. Reads BOARD.md + relevant project cards\n2. Picks ONE unit of work (highest-priority with a clear, actionable Next action)\n3. Greenfield = plan + red-team + send to James. Continuation = implement. review-required = produce + send for approval.\n4. Updates card, logs run, schedules next reset-wake.\n\n## Priority tiers (autopilot routing)\n\n- **P1**: StageHand, nanoclaw — work whenever quota is above adaptive floor\n- **P2**: AgenticLever, RoadSense, qip-qien — work when burn rate is below sustainable pace\n- **P3**: congressional-trading, TradingBot25 — work only when meaningfully ahead of pace\n\n## Model routing\n\n- Planning: always Claude Sonnet (regardless of quota tier)\n- Implementation high quota: Claude Sonnet\n- Implementation medium quota: Claude Sonnet (P1+P2)\n- Implementation low quota: Gemini or Haiku (P1 only)\n- Implementation minimal: LM Studio (P1 only)\n\n## Daily brief\n\nScheduled 07:00 CT. Short Telegram message: Moved / Stalled / Decisions (max 3).\nJames replies → Nano updates the card.\n\n## Decision queue\n\nLive in BOARD.md. Max ~5 open items. James answers via Telegram reply.\n","structuredPatch":[],"originalFile":null,"userModified":false},"sourceToolAssistantUUID":"ba75d733-aa59-4cee-b195-47d8847ce506","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"parentUuid":"cefa53e5-d866-406b-9498-6fad4ad0a1a2","isSidechain":false,"attachment":{"type":"queued_command","prompt":"\nI have a $20 / mo gemini subscription","commandMode":"prompt"},"type":"attachment","uuid":"ccbd97f5-0f24-49be-82ba-0b6d751547dc","timestamp":"2026-07-07T15:02:26.288Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"last-prompt","leafUuid":"ccbd97f5-0f24-49be-82ba-0b6d751547dc","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
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{"parentUuid":"ccbd97f5-0f24-49be-82ba-0b6d751547dc","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnu8kjffbkDqhGLJUpD6","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"James answered the Gemini question — it's a $20/mo subscription, similar to Claude and Codex. This means:\n1. It likely has usage windows/quota similar to Claude and Codex\n2. But CodexBar doesn't track it\n\nGoogle's Gemini Advanced ($20/mo = Google One AI Premium) has usage limits but they're not as clearly quantified as Claude's 5h/7d windows. Gemini doesn't expose a usage API the way CodexBar reads Claude Code's usage.\n\nFor the autopilot, since CodexBar can't track Gemini, the best approach is:\n- Treat Gemini as a synthetic provider that's always available without CodexBar window tracking\n- Add it to the routing output as a constant\n- Use conservative routing when selecting it since we can't monitor its quota\n\nNow I'm moving on to build out the portfolio board and project cards, then I'll address the Gemini handling in the autopilot logic.","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":712,"cache_read_input_tokens":57903,"output_tokens":866,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":712},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":866,"cache_read_input_tokens":57903,"cache_creation_input_tokens":712,"cache_creation":{"ephemeral_5m_input_tokens":712,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnu8kDues8KQsDnvHqxh","type":"assistant","uuid":"1557d1d5-11e2-46ed-8148-6e4214ef67a8","timestamp":"2026-07-07T15:02:33.860Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"1557d1d5-11e2-46ed-8148-6e4214ef67a8","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnu8kjffbkDqhGLJUpD6","type":"message","role":"assistant","content":[{"type":"text","text":"Good — $20/mo Gemini subscription means it has usage limits like Claude but CodexBar doesn't track it. I'll address that after finishing the board setup."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":712,"cache_read_input_tokens":57903,"output_tokens":866,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":712},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":866,"cache_read_input_tokens":57903,"cache_creation_input_tokens":712,"cache_creation":{"ephemeral_5m_input_tokens":712,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnu8kDues8KQsDnvHqxh","type":"assistant","uuid":"a017d1fa-8fda-4a17-aa4f-368d40e3b6f8","timestamp":"2026-07-07T15:02:33.867Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"a017d1fa-8fda-4a17-aa4f-368d40e3b6f8","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnu8kjffbkDqhGLJUpD6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ck7pSycC9Y5jgGd1Z7tsns","name":"Write","input":{"file_path":"/workspace/extra/second-brain/portfolio/BOARD.md","content":"# Portfolio Board\n\n_Last updated: 2026-07-07_\n\n## Projects\n\n| Project | Priority | Stage | Guard | Next action | Last activity |\n|---------|----------|-------|-------|-------------|---------------|\n| nanoclaw | P1 | build | autonomous-ok | Fix Gemini provider in autopilot routing | 2026-07-07 |\n| StageHand | P1 | discovery | autonomous-ok | Confirm with James: goal and scope for real estate video suite | 2026-07-07 |\n| AgenticLever | P2 | maintain | autonomous-ok | Confirm with James: current goal and next milestone | 2026-07-07 |\n| RoadSense | P2 | test | autonomous-ok | Investigate and fix thorny UI issue | 2026-07-06 |\n| qip-qien | P2 | feedback | review-required | Confirm with James: active trial status and what's blocking | 2026-07-07 |\n| congressional-trading | P3 | build | autonomous-ok | Review uncommitted changes and commit/clean up | 2026-07-06 |\n| TradingBot25 | P3 | build | review-required | Confirm with James: current goal and active work | 2026-07-07 |\n\n## Decision queue\n\n1. **StageHand goal** — What is the target outcome for StageHand? (Real estate video automation suite, or something narrower based on HyperFrames experiment?)\n2. **AgenticLever milestone** — What's the current priority for AgenticLever-website?\n3. **qip-qien trial status** — Is the live trial with Ramón active? What's blocking next iteration?\n\n## Notes\n\n- Reddit ingestion dropped: OAuth app creation now requires manual approval from Reddit, content signal too low to pursue. (2026-07-07)\n- Portfolio board seeded from conversation history on 2026-07-07. Cards marked \"Confirm with James\" should be resolved via daily brief.\n- Gemini ($20/mo subscription) is not tracked by CodexBar — treated as always-available in routing. (2026-07-07)\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":712,"cache_read_input_tokens":57903,"output_tokens":866,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":712},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":866,"cache_read_input_tokens":57903,"cache_creation_input_tokens":712,"cache_creation":{"ephemeral_5m_input_tokens":712,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnu8kDues8KQsDnvHqxh","type":"assistant","uuid":"7a0c5955-b15f-4f31-a137-c97d7f740813","timestamp":"2026-07-07T15:02:43.495Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"7a0c5955-b15f-4f31-a137-c97d7f740813","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ck7pSycC9Y5jgGd1Z7tsns","type":"tool_result","content":"File created successfully at: /workspace/extra/second-brain/portfolio/BOARD.md (file state is current in your context — no need to Read it back)"}]},"uuid":"a98b5f98-daab-4b08-b751-e089b629a95a","timestamp":"2026-07-07T15:02:43.513Z","toolUseResult":{"type":"create","filePath":"/workspace/extra/second-brain/portfolio/BOARD.md","content":"# Portfolio Board\n\n_Last updated: 2026-07-07_\n\n## Projects\n\n| Project | Priority | Stage | Guard | Next action | Last activity |\n|---------|----------|-------|-------|-------------|---------------|\n| nanoclaw | P1 | build | autonomous-ok | Fix Gemini provider in autopilot routing | 2026-07-07 |\n| StageHand | P1 | discovery | autonomous-ok | Confirm with James: goal and scope for real estate video suite | 2026-07-07 |\n| AgenticLever | P2 | maintain | autonomous-ok | Confirm with James: current goal and next milestone | 2026-07-07 |\n| RoadSense | P2 | test | autonomous-ok | Investigate and fix thorny UI issue | 2026-07-06 |\n| qip-qien | P2 | feedback | review-required | Confirm with James: active trial status and what's blocking | 2026-07-07 |\n| congressional-trading | P3 | build | autonomous-ok | Review uncommitted changes and commit/clean up | 2026-07-06 |\n| TradingBot25 | P3 | build | review-required | Confirm with James: current goal and active work | 2026-07-07 |\n\n## Decision queue\n\n1. **StageHand goal** — What is the target outcome for StageHand? (Real estate video automation suite, or something narrower based on HyperFrames experiment?)\n2. **AgenticLever milestone** — What's the current priority for AgenticLever-website?\n3. **qip-qien trial status** — Is the live trial with Ramón active? What's blocking next iteration?\n\n## Notes\n\n- Reddit ingestion dropped: OAuth app creation now requires manual approval from Reddit, content signal too low to pursue. (2026-07-07)\n- Portfolio board seeded from conversation history on 2026-07-07. Cards marked \"Confirm with James\" should be resolved via daily brief.\n- Gemini ($20/mo subscription) is not tracked by CodexBar — treated as always-available in routing. (2026-07-07)\n","structuredPatch":[],"originalFile":null,"userModified":false},"sourceToolAssistantUUID":"7a0c5955-b15f-4f31-a137-c97d7f740813","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"a98b5f98-daab-4b08-b751-e089b629a95a","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuA2VyevEYfJZSekhEu","type":"message","role":"assistant","content":[{"type":"text","text":"Now create the project cards in parallel:"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":913,"cache_read_input_tokens":58615,"output_tokens":437,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":913},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":437,"cache_read_input_tokens":58615,"cache_creation_input_tokens":913,"cache_creation":{"ephemeral_5m_input_tokens":913,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuA1tGaktrhptxxijqq","type":"assistant","uuid":"aca10eb0-a18f-4969-8c19-0caa08578bd0","timestamp":"2026-07-07T15:02:45.247Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"aca10eb0-a18f-4969-8c19-0caa08578bd0","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuA2VyevEYfJZSekhEu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0116DorFb4iUjzf3YMUZUhj9","name":"Write","input":{"file_path":"/workspace/extra/second-brain/portfolio/projects/nanoclaw.md","content":"# nanoclaw\n\n**Priority:** P1 \n**Stage:** build \n**Guard:** autonomous-ok \n**Goal:** Build the factory infrastructure — quota-aware autopilot, routing logic, planning-tier design — so all other projects can accelerate on top of it.\n\n## Next action\n\nFix Gemini provider in autopilot routing (add as always-available synthetic provider since CodexBar doesn't track it).\n\n## Backlog\n\n- Planning-tier design: smart model for planning, auto red-team, human checkpoint before implementation starts\n- Closed-loop quota tuning: track quota spent vs output, drift thresholds toward right values over time\n- Gemini quota tracking (no CodexBar support — monitor manually or via Gemini API if available)\n\n## Notes\n\n- 2026-07-07: Autopilot routing logic built (autopilot.mjs, autopilot-trigger.mjs, autopilot-config.json). CodexBar integration working. Adaptive reserve formula implemented.\n- 2026-07-07: Priority order confirmed by James: P1=nanoclaw/StageHand, P2=AgenticLever/RoadSense/qip-qien, P3=congressional-trading/TradingBot25\n- 2026-07-07: Reddit ingestion dropped — Reddit restricted OAuth app creation, content signal too low.\n- 2026-07-07: Portfolio board created (seeded from conversation history) — this was missing from second-brain.\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":913,"cache_read_input_tokens":58615,"output_tokens":437,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":913},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":437,"cache_read_input_tokens":58615,"cache_creation_input_tokens":913,"cache_creation":{"ephemeral_5m_input_tokens":913,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuA1tGaktrhptxxijqq","type":"assistant","uuid":"08afd5e1-42e9-4386-b4ee-64cc4e4b3549","timestamp":"2026-07-07T15:02:52.542Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"08afd5e1-42e9-4386-b4ee-64cc4e4b3549","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0116DorFb4iUjzf3YMUZUhj9","type":"tool_result","content":"File created successfully at: /workspace/extra/second-brain/portfolio/projects/nanoclaw.md (file state is current in your context — no need to Read it back)"}]},"uuid":"33dcefbb-9a89-47d2-b38f-343ecbfa5059","timestamp":"2026-07-07T15:02:52.551Z","toolUseResult":{"type":"create","filePath":"/workspace/extra/second-brain/portfolio/projects/nanoclaw.md","content":"# nanoclaw\n\n**Priority:** P1 \n**Stage:** build \n**Guard:** autonomous-ok \n**Goal:** Build the factory infrastructure — quota-aware autopilot, routing logic, planning-tier design — so all other projects can accelerate on top of it.\n\n## Next action\n\nFix Gemini provider in autopilot routing (add as always-available synthetic provider since CodexBar doesn't track it).\n\n## Backlog\n\n- Planning-tier design: smart model for planning, auto red-team, human checkpoint before implementation starts\n- Closed-loop quota tuning: track quota spent vs output, drift thresholds toward right values over time\n- Gemini quota tracking (no CodexBar support — monitor manually or via Gemini API if available)\n\n## Notes\n\n- 2026-07-07: Autopilot routing logic built (autopilot.mjs, autopilot-trigger.mjs, autopilot-config.json). CodexBar integration working. Adaptive reserve formula implemented.\n- 2026-07-07: Priority order confirmed by James: P1=nanoclaw/StageHand, P2=AgenticLever/RoadSense/qip-qien, P3=congressional-trading/TradingBot25\n- 2026-07-07: Reddit ingestion dropped — Reddit restricted OAuth app creation, content signal too low.\n- 2026-07-07: Portfolio board created (seeded from conversation history) — this was missing from second-brain.\n","structuredPatch":[],"originalFile":null,"userModified":false},"sourceToolAssistantUUID":"08afd5e1-42e9-4386-b4ee-64cc4e4b3549","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"33dcefbb-9a89-47d2-b38f-343ecbfa5059","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuAh9v6N7Tk1XXnCfGH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TY127i2RzFw2Dem7kWfuC1","name":"Write","input":{"file_path":"/workspace/extra/second-brain/portfolio/projects/StageHand.md","content":"# StageHand\n\n**Priority:** P1 \n**Stage:** discovery \n**Guard:** autonomous-ok \n**Goal:** TBD — seeded card, confirm with James. Working hypothesis: real estate agent video automation suite.\n\n## Next action\n\nConfirm with James: what is the target outcome for StageHand? (Real estate video suite vs. narrower scope based on HyperFrames experiment?)\n\n## Context\n\n- James has a `StageHand/` folder in `~/projects/`\n- Tried HyperFrames tool to create a product launch video (used RoadSense as test subject)\n- Goal seems to be tooling for real estate agents to produce videos/content\n\n## Notes\n\n- 2026-07-07: Card seeded from conversation history. James mentioned StageHand in context of HyperFrames experiment — created a product launch video for RoadSense to explore the tool.\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":487,"cache_read_input_tokens":59528,"output_tokens":296,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":487},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":296,"cache_read_input_tokens":59528,"cache_creation_input_tokens":487,"cache_creation":{"ephemeral_5m_input_tokens":487,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuAgduyTEF35nGdjUgA","type":"assistant","uuid":"d1629b47-b612-462a-a3b9-dccfa396be13","timestamp":"2026-07-07T15:02:58.495Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"d1629b47-b612-462a-a3b9-dccfa396be13","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TY127i2RzFw2Dem7kWfuC1","type":"tool_result","content":"File created successfully at: /workspace/extra/second-brain/portfolio/projects/StageHand.md (file state is current in your context — no need to Read it back)"}]},"uuid":"66e61b03-38d6-4c37-951a-7be27c92730f","timestamp":"2026-07-07T15:02:58.509Z","toolUseResult":{"type":"create","filePath":"/workspace/extra/second-brain/portfolio/projects/StageHand.md","content":"# StageHand\n\n**Priority:** P1 \n**Stage:** discovery \n**Guard:** autonomous-ok \n**Goal:** TBD — seeded card, confirm with James. Working hypothesis: real estate agent video automation suite.\n\n## Next action\n\nConfirm with James: what is the target outcome for StageHand? (Real estate video suite vs. narrower scope based on HyperFrames experiment?)\n\n## Context\n\n- James has a `StageHand/` folder in `~/projects/`\n- Tried HyperFrames tool to create a product launch video (used RoadSense as test subject)\n- Goal seems to be tooling for real estate agents to produce videos/content\n\n## Notes\n\n- 2026-07-07: Card seeded from conversation history. James mentioned StageHand in context of HyperFrames experiment — created a product launch video for RoadSense to explore the tool.\n","structuredPatch":[],"originalFile":null,"userModified":false},"sourceToolAssistantUUID":"d1629b47-b612-462a-a3b9-dccfa396be13","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"66e61b03-38d6-4c37-951a-7be27c92730f","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuB9Go2yp8CmPAo9hMc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DXpCSgbz2SRZY58enx3rRU","name":"Write","input":{"file_path":"/workspace/extra/second-brain/portfolio/projects/RoadSense.md","content":"# RoadSense\n\n**Priority:** P2 \n**Stage:** test \n**Guard:** autonomous-ok \n**Goal:** Motorcycle road discovery app — surfaces roads worth riding near Cedar Park algorithmically. Going public.\n\n## Next action\n\nInvestigate and fix the thorny UI issue (James mentioned this as a test case for quota-aware routing).\n\n## Context\n\n- Repo: `jamesjlopez/RoadSense` (local: `~/projects/RoadSense`)\n- Stack: Python, TypeScript/Next.js/React\n- Uses raw GIS map data to surface roads algorithmically, with popularity scoring\n- Has uncommitted changes in local working tree\n\n## Notes\n\n- 2026-07-07: Card seeded from conversation history. James cited the \"thorny UI issue\" as a concrete test case for the autopilot routing system.\n- 2026-06-06: Local repo has uncommitted changes (from repo-awareness).\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":347,"cache_read_input_tokens":60015,"output_tokens":304,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":347},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":304,"cache_read_input_tokens":60015,"cache_creation_input_tokens":347,"cache_creation":{"ephemeral_5m_input_tokens":347,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuB7zuKfBi9Nn6dS7Gx","type":"assistant","uuid":"0ae6d0c2-f1db-4c78-8533-b29f75477d05","timestamp":"2026-07-07T15:03:05.053Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"0ae6d0c2-f1db-4c78-8533-b29f75477d05","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DXpCSgbz2SRZY58enx3rRU","type":"tool_result","content":"File created successfully at: /workspace/extra/second-brain/portfolio/projects/RoadSense.md (file state is current in your context — no need to Read it back)"}]},"uuid":"9a6e9e25-42b3-4b43-b541-665bcd64956f","timestamp":"2026-07-07T15:03:05.060Z","toolUseResult":{"type":"create","filePath":"/workspace/extra/second-brain/portfolio/projects/RoadSense.md","content":"# RoadSense\n\n**Priority:** P2 \n**Stage:** test \n**Guard:** autonomous-ok \n**Goal:** Motorcycle road discovery app — surfaces roads worth riding near Cedar Park algorithmically. Going public.\n\n## Next action\n\nInvestigate and fix the thorny UI issue (James mentioned this as a test case for quota-aware routing).\n\n## Context\n\n- Repo: `jamesjlopez/RoadSense` (local: `~/projects/RoadSense`)\n- Stack: Python, TypeScript/Next.js/React\n- Uses raw GIS map data to surface roads algorithmically, with popularity scoring\n- Has uncommitted changes in local working tree\n\n## Notes\n\n- 2026-07-07: Card seeded from conversation history. James cited the \"thorny UI issue\" as a concrete test case for the autopilot routing system.\n- 2026-06-06: Local repo has uncommitted changes (from repo-awareness).\n","structuredPatch":[],"originalFile":null,"userModified":false},"sourceToolAssistantUUID":"0ae6d0c2-f1db-4c78-8533-b29f75477d05","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"9a6e9e25-42b3-4b43-b541-665bcd64956f","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuBcaN9kh6Bf2VwaiEf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0114MmiTE7cdMxLcaVkSPwo5","name":"Write","input":{"file_path":"/workspace/extra/second-brain/portfolio/projects/AgenticLever.md","content":"# AgenticLever\n\n**Priority:** P2 \n**Stage:** maintain \n**Guard:** autonomous-ok \n**Goal:** TBD — seeded card, confirm with James. Working hypothesis: James's personal/professional website for agentic AI workflows.\n\n## Next action\n\nConfirm with James: current goal and next milestone for AgenticLever-website.\n\n## Context\n\n- Repo: `jamesjlopez/AgenticLever-website` (local: `~/projects/AgenticLever-website`)\n- Stack: JavaScript, TypeScript\n- Recent activity: 2026-06-29 — feat: add NTFY_CLICK_URL support for sheet CTA button in push notifications\n- Has uncommitted changes in local working tree\n\n## Notes\n\n- 2026-07-07: Card seeded from conversation history.\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":355,"cache_read_input_tokens":60362,"output_tokens":277,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":355},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":277,"cache_read_input_tokens":60362,"cache_creation_input_tokens":355,"cache_creation":{"ephemeral_5m_input_tokens":355,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuBc2sNofs1TwcX7pBJ","type":"assistant","uuid":"413be5b8-6ce5-40cd-b080-b135131a5f1c","timestamp":"2026-07-07T15:03:09.452Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"413be5b8-6ce5-40cd-b080-b135131a5f1c","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0114MmiTE7cdMxLcaVkSPwo5","type":"tool_result","content":"File created successfully at: /workspace/extra/second-brain/portfolio/projects/AgenticLever.md (file state is current in your context — no need to Read it back)"}]},"uuid":"abe272cd-4920-4ff0-9359-7fa395311c92","timestamp":"2026-07-07T15:03:09.474Z","toolUseResult":{"type":"create","filePath":"/workspace/extra/second-brain/portfolio/projects/AgenticLever.md","content":"# AgenticLever\n\n**Priority:** P2 \n**Stage:** maintain \n**Guard:** autonomous-ok \n**Goal:** TBD — seeded card, confirm with James. Working hypothesis: James's personal/professional website for agentic AI workflows.\n\n## Next action\n\nConfirm with James: current goal and next milestone for AgenticLever-website.\n\n## Context\n\n- Repo: `jamesjlopez/AgenticLever-website` (local: `~/projects/AgenticLever-website`)\n- Stack: JavaScript, TypeScript\n- Recent activity: 2026-06-29 — feat: add NTFY_CLICK_URL support for sheet CTA button in push notifications\n- Has uncommitted changes in local working tree\n\n## Notes\n\n- 2026-07-07: Card seeded from conversation history.\n","structuredPatch":[],"originalFile":null,"userModified":false},"sourceToolAssistantUUID":"413be5b8-6ce5-40cd-b080-b135131a5f1c","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"abe272cd-4920-4ff0-9359-7fa395311c92","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuBwfpMT8vP9GkAvJve","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011yPtvE988H7YR98pGh4BPy","name":"Write","input":{"file_path":"/workspace/extra/second-brain/portfolio/projects/qip-qien.md","content":"# qip-qien\n\n**Priority:** P2 \n**Stage:** feedback \n**Guard:** review-required \n**Goal:** AI-augmented support ticket system connecting factory production line managers (Ramón's domain) to domain-expert consultants. Triage + AI draft before it reaches the expert inbox.\n\n## Next action\n\nConfirm with James: is the live trial with Ramón active? What's blocking the next iteration?\n\n## Context\n\n- Repo: `jamesjlopez/qip-qien` (local: `~/projects/qip-qien`)\n- Stack: Docker, GitHub Actions, TypeScript/Next.js/React\n- Ramón B. Lopez (brother) is the target expert persona — Sr. Director of Digital Manufacturing Architecture at Jabil. Deep FDA/ISO 13485/EU MDR background.\n- Recent activity: 2026-07-06 — chore: log Fable model review findings into BACKLOG.md\n- Has uncommitted changes\n\n## Notes\n\n- 2026-07-07: Card seeded. James mentioned Ramón as the domain expert; James is helping him level up on AI and contributing to repos.\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":328,"cache_read_input_tokens":60717,"output_tokens":355,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":328},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":355,"cache_read_input_tokens":60717,"cache_creation_input_tokens":328,"cache_creation":{"ephemeral_5m_input_tokens":328,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuBw1dXJ8TuQnXEaFbH","type":"assistant","uuid":"fa7c9655-1959-4bed-8cc4-ca33076f972c","timestamp":"2026-07-07T15:03:16.876Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"fa7c9655-1959-4bed-8cc4-ca33076f972c","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011yPtvE988H7YR98pGh4BPy","type":"tool_result","content":"File created successfully at: /workspace/extra/second-brain/portfolio/projects/qip-qien.md (file state is current in your context — no need to Read it back)"}]},"uuid":"8277aabd-d1ef-409e-9ac3-4bb742f70d5b","timestamp":"2026-07-07T15:03:16.890Z","toolUseResult":{"type":"create","filePath":"/workspace/extra/second-brain/portfolio/projects/qip-qien.md","content":"# qip-qien\n\n**Priority:** P2 \n**Stage:** feedback \n**Guard:** review-required \n**Goal:** AI-augmented support ticket system connecting factory production line managers (Ramón's domain) to domain-expert consultants. Triage + AI draft before it reaches the expert inbox.\n\n## Next action\n\nConfirm with James: is the live trial with Ramón active? What's blocking the next iteration?\n\n## Context\n\n- Repo: `jamesjlopez/qip-qien` (local: `~/projects/qip-qien`)\n- Stack: Docker, GitHub Actions, TypeScript/Next.js/React\n- Ramón B. Lopez (brother) is the target expert persona — Sr. Director of Digital Manufacturing Architecture at Jabil. Deep FDA/ISO 13485/EU MDR background.\n- Recent activity: 2026-07-06 — chore: log Fable model review findings into BACKLOG.md\n- Has uncommitted changes\n\n## Notes\n\n- 2026-07-07: Card seeded. James mentioned Ramón as the domain expert; James is helping him level up on AI and contributing to repos.\n","structuredPatch":[],"originalFile":null,"userModified":false},"sourceToolAssistantUUID":"fa7c9655-1959-4bed-8cc4-ca33076f972c","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"parentUuid":"e340f9f7-20b9-4cf2-8f47-41a3bef049c2","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuCVyGbNQBodgCLME95","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0199UB8i15HdKns9oAKtqHPN","name":"Write","input":{"file_path":"/workspace/extra/second-brain/portfolio/projects/congressional-trading.md","content":"# congressional-trading\n\n**Priority:** P3 \n**Stage:** build \n**Guard:** autonomous-ok \n**Goal:** CongressWatch — automated system that ingests congressional stock disclosures, scores trade quality, and sends push notifications when high-conviction signals cross a threshold.\n\n## Next action\n\nReview uncommitted changes and commit/clean up local working tree.\n\n## Context\n\n- Repo: `jamesjlopez/congressional-trading` (local: `~/projects/congressional-trading`)\n- Stack: Python\n- Recent activity: 2026-07-06 — Keep shadow measurement active during pauses\n- Has uncommitted changes in local working tree\n- Legally mandated STOCK Act disclosures — data is public, signal is legal\n\n## Notes\n\n- 2026-07-07: Card seeded from conversation history. P3 = lowest autopilot priority; James confirmed congressional-trading and TradingBot25 are lower priority than infrastructure work.\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":598,"cache_read_input_tokens":61045,"output_tokens":301,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":598},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":301,"cache_read_input_tokens":61045,"cache_creation_input_tokens":598,"cache_creation":{"ephemeral_5m_input_tokens":598,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuCUduFJ8Tjv5aBXSi8","type":"assistant","uuid":"00214af5-d75f-4592-bcf1-9fe5ca758111","timestamp":"2026-07-07T15:03:23.502Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"parentUuid":"954512e6-6e5d-44c6-b9ad-82d8490c2033","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuCym71eanHDz4hxj7L","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GUvdcf3KjJBT5VT4aXTxPa","name":"Write","input":{"file_path":"/workspace/extra/second-brain/portfolio/projects/TradingBot25.md","content":"# TradingBot25\n\n**Priority:** P3 \n**Stage:** build \n**Guard:** review-required \n**Goal:** TBD — seeded card, confirm with James. Working hypothesis: multi-asset algorithmic trading bot using Claude for signal logic.\n\n## Next action\n\nConfirm with James: current goal and what's actively in progress.\n\n## Context\n\n- Repo: `jamesjlopez/TradingBot25` (private GitHub)\n- Stack: Python\n- Recent activity: 2026-06-26 — Weights update\n- James mentioned it in context of a multi-asset Claude trading bot architecture\n\n## Notes\n\n- 2026-07-07: Card seeded. Private repo — no direct code access. James approves merges (review-required).\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":351,"cache_read_input_tokens":61643,"output_tokens":265,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":351},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":265,"cache_read_input_tokens":61643,"cache_creation_input_tokens":351,"cache_creation":{"ephemeral_5m_input_tokens":351,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuCy6RjXMYFRaNQutdz","type":"assistant","uuid":"97c19406-29a6-442c-9555-7b12b34c9ca9","timestamp":"2026-07-07T15:03:28.444Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"parentUuid":"16575e16-d8a0-4f0a-91c3-37b250d7dff6","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuDkjZ242QgYNKpMona","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"James is giving me direct Codex usage data from the ChatGPT interface - 99% of 5hr remaining and 72% of 7d remaining. Let me compare this with what CodexBar is reporting. The CodexBar data showed: Codex 5h: 100% remaining, 7d: 72% remaining. So the 7d matches exactly, but 5h is 99% vs CodexBar's 100% — that's essentially the same (100% → 99% is just a tiny bit of usage right after the reset). \n\nOK so CodexBar is accurate for Codex! Good.\nNow for Gemini — James confirmed it's a $20/mo subscription through Google One AI Premium. Since CodexBar can't track its usage limits, I'll add it as a synthetic provider that's always available for routing but marked as untrackable for quota purposes. Let me update the autopilot to handle this.\n\nI need to modify the routing output to show Gemini as untracked but always-available, include it in the tier routing at low/minimal tiers, and add an `untracked_providers` section to the config. In autopilot.mjs, I'll read these untracked providers from the config and display them in the routing output, human-readable output, and JSON snapshot. Then I'll update the config file to add Gemini with a note about the subscription and lack of CodexBar tracking.","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":367,"cache_read_input_tokens":62311,"output_tokens":708,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":367},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":708,"cache_read_input_tokens":62311,"cache_creation_input_tokens":367,"cache_creation":{"ephemeral_5m_input_tokens":367,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuDcSEnFRjXWDWsvuJY","type":"assistant","uuid":"3a73bd84-f2c5-40ec-ac1f-a108d02306c1","timestamp":"2026-07-07T15:03:53.866Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"3a73bd84-f2c5-40ec-ac1f-a108d02306c1","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuDkjZ242QgYNKpMona","type":"message","role":"assistant","content":[{"type":"text","text":"Good — Codex is tracking accurately (72% 7d matches exactly). Now fixing the Gemini issue. Since it's a $20/mo subscription with no CodexBar tracking, I'll add it as an \"untracked\" provider — always-available, shown in the routing output alongside Claude/Codex."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":367,"cache_read_input_tokens":62311,"output_tokens":708,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":367},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":708,"cache_read_input_tokens":62311,"cache_creation_input_tokens":367,"cache_creation":{"ephemeral_5m_input_tokens":367,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuDcSEnFRjXWDWsvuJY","type":"assistant","uuid":"2c94a2cc-1151-4581-bd09-32a164409928","timestamp":"2026-07-07T15:03:53.927Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"2c94a2cc-1151-4581-bd09-32a164409928","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuDkjZ242QgYNKpMona","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019eF9RoXBfd2B3tY86Qibvk","name":"Read","input":{"file_path":"/workspace/agent/autopilot-config.json"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":367,"cache_read_input_tokens":62311,"output_tokens":708,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":367},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":708,"cache_read_input_tokens":62311,"cache_creation_input_tokens":367,"cache_creation":{"ephemeral_5m_input_tokens":367,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuDcSEnFRjXWDWsvuJY","type":"assistant","uuid":"9ba4987f-5d41-43ca-942c-1ac560f03ca1","timestamp":"2026-07-07T15:03:54.078Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"parentUuid":"6bf518d0-d3cb-4b12-8f3f-786c3400568b","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuFEno2BVQWpm8W5hgR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01A3BD8Pyjc1h13k75QRDzVm","name":"Edit","input":{"replace_all":false,"file_path":"/workspace/agent/autopilot-config.json","old_string":" \"codexbar_url\": \"http://host.docker.internal:7842/usage\",\n \"lm_studio_url\": \"http://host.docker.internal:1234\"\n}","new_string":" \"codexbar_url\": \"http://host.docker.internal:7842/usage\",\n \"lm_studio_url\": \"http://host.docker.internal:1234\",\n\n \"untracked_providers\": [\n { \"name\": \"Gemini\", \"note\": \"$20/mo subscription — no CodexBar tracking, treat as always-available\" },\n { \"name\": \"LM Studio\", \"note\": \"local model server — always-available when running at lm_studio_url\" }\n ]\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":969,"cache_read_input_tokens":62678,"output_tokens":269,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":969},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":269,"cache_read_input_tokens":62678,"cache_creation_input_tokens":969,"cache_creation":{"ephemeral_5m_input_tokens":969,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuFDzfrGZDSkUQMLUt6","type":"assistant","uuid":"912583f7-c897-4819-9391-4e21ee408f76","timestamp":"2026-07-07T15:03:58.091Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"912583f7-c897-4819-9391-4e21ee408f76","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01A3BD8Pyjc1h13k75QRDzVm","type":"tool_result","content":"The file /workspace/agent/autopilot-config.json has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"1fb401a5-97e3-4d94-a720-9485224ac128","timestamp":"2026-07-07T15:03:58.108Z","toolUseResult":{"filePath":"/workspace/agent/autopilot-config.json","oldString":" \"codexbar_url\": \"http://host.docker.internal:7842/usage\",\n \"lm_studio_url\": \"http://host.docker.internal:1234\"\n}","newString":" \"codexbar_url\": \"http://host.docker.internal:7842/usage\",\n \"lm_studio_url\": \"http://host.docker.internal:1234\",\n\n \"untracked_providers\": [\n { \"name\": \"Gemini\", \"note\": \"$20/mo subscription — no CodexBar tracking, treat as always-available\" },\n { \"name\": \"LM Studio\", \"note\": \"local model server — always-available when running at lm_studio_url\" }\n ]\n}","originalFile":"{\n \"reserve_5h_pct\": 25,\n \"reserve_7d_pct\": 15,\n\n \"project_priorities\": {\n \"StageHand\": \"P1\",\n \"nanoclaw\": \"P1\",\n \"AgenticLever\": \"P2\",\n \"RoadSense\": \"P2\",\n \"qip-qien\": \"P2\",\n \"congressional-trading\": \"P3\",\n \"TradingBot25\": \"P3\"\n },\n\n \"flush_threshold\": 60,\n \"comfortable_threshold\": 40,\n \"moderate_threshold\": 20,\n\n \"codexbar_url\": \"http://host.docker.internal:7842/usage\",\n \"lm_studio_url\": \"http://host.docker.internal:1234\"\n}\n","structuredPatch":[{"oldStart":17,"oldLines":5,"newStart":17,"newLines":10,"lines":[" \"moderate_threshold\": 20,"," "," \"codexbar_url\": \"http://host.docker.internal:7842/usage\",","- \"lm_studio_url\": \"http://host.docker.internal:1234\"","+ \"lm_studio_url\": \"http://host.docker.internal:1234\",","+","+ \"untracked_providers\": [","+ { \"name\": \"Gemini\", \"note\": \"$20/mo subscription — no CodexBar tracking, treat as always-available\" },","+ { \"name\": \"LM Studio\", \"note\": \"local model server — always-available when running at lm_studio_url\" }","+ ]"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"912583f7-c897-4819-9391-4e21ee408f76","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"1fb401a5-97e3-4d94-a720-9485224ac128","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuFcZEgQ4jZEmMRioXP","type":"message","role":"assistant","content":[{"type":"text","text":"Now update autopilot.mjs to surface untracked providers in both the human-readable and JSON outputs:"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":334,"cache_read_input_tokens":63647,"output_tokens":122,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":334},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":122,"cache_read_input_tokens":63647,"cache_creation_input_tokens":334,"cache_creation":{"ephemeral_5m_input_tokens":334,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuFaLY91KBXXZTYePpk","type":"assistant","uuid":"1493c911-9bca-4175-9acb-b1c2ad9b2bc6","timestamp":"2026-07-07T15:04:01.514Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"1493c911-9bca-4175-9acb-b1c2ad9b2bc6","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuFcZEgQ4jZEmMRioXP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014rcAXCaYzTdBaGuBoEuKAm","name":"Read","input":{"file_path":"/workspace/agent/autopilot.mjs","offset":130,"limit":80},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":334,"cache_read_input_tokens":63647,"output_tokens":122,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":334},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":122,"cache_read_input_tokens":63647,"cache_creation_input_tokens":334,"cache_creation":{"ephemeral_5m_input_tokens":334,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuFaLY91KBXXZTYePpk","type":"assistant","uuid":"1d169fc9-7655-4878-95c5-a136443f61e1","timestamp":"2026-07-07T15:04:01.830Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"1d169fc9-7655-4878-95c5-a136443f61e1","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014rcAXCaYzTdBaGuBoEuKAm","type":"tool_result","content":"130\tasync function main() {\n131\t let data;\n132\t try {\n133\t data = await fetchUsage();\n134\t } catch (err) {\n135\t const out = { error: `Failed to reach CodexBar: ${err.message}`, burnable: 0 };\n136\t if (JSON_MODE) console.log(JSON.stringify(out));\n137\t else console.error(out.error);\n138\t process.exit(1);\n139\t }\n140\t\n141\t const providers = data.providers ?? [];\n142\t\n143\t // Claude is the constraint for autonomous work routing\n144\t const claudeProvider = providers.find((p) => /claude/i.test(p.name ?? \"\")) ?? null;\n145\t const { w5h, w7d } = extractWindows(claudeProvider?.windows ?? []);\n146\t\n147\t const burnable5h = computeBurnable(w5h, config.reserve_5h_pct);\n148\t const burnable7d = computeBurnable(w7d, config.reserve_7d_pct);\n149\t const burnable = Math.min(burnable5h, burnable7d);\n150\t\n151\t if (CHECK_MODE) {\n152\t process.stdout.write(burnable.toFixed(1) + \"\\n\");\n153\t return;\n154\t }\n155\t\n156\t const tier = quotaTier(burnable);\n157\t const projects = routeProjects(tier, w7d);\n158\t\n159\t // Reset time for the tighter window (5h if depleted, else whichever is constraining)\n160\t const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;\n161\t const resetAt = nextResetAt(constraintWindow);\n162\t\n163\t const result = {\n164\t timestamp: new Date().toISOString(),\n165\t providers: providers.map((p) => {\n166\t const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n167\t return {\n168\t name: p.name,\n169\t \"5h\": p5h ? {\n170\t used_pct: p5h.pct,\n171\t remaining_pct: remaining(p5h),\n172\t resets_in_sec: p5h.resets_in_sec,\n173\t } : null,\n174\t \"7d\": p7d ? {\n175\t used_pct: p7d.pct,\n176\t remaining_pct: remaining(p7d),\n177\t resets_in_sec: p7d.resets_in_sec,\n178\t } : null,\n179\t };\n180\t }),\n181\t claude: {\n182\t \"5h\": w5h ? { used_pct: w5h.pct, remaining_pct: remaining(w5h), burnable_pct: +burnable5h.toFixed(1), resets_in_sec: w5h.resets_in_sec } : null,\n183\t \"7d\": w7d ? { used_pct: w7d.pct, remaining_pct: remaining(w7d), burnable_pct: +burnable7d.toFixed(1), resets_in_sec: w7d.resets_in_sec } : null,\n184\t },\n185\t burnable_pct: +burnable.toFixed(1),\n186\t tier: tier.tier,\n187\t tier_label: tier.label,\n188\t next_reset_at: resetAt,\n189\t projects,\n190\t };\n191\t\n192\t if (JSON_MODE) {\n193\t console.log(JSON.stringify(result, null, 2));\n194\t return;\n195\t }\n196\t\n197\t // Human-readable summary\n198\t console.log(`\\n=== Portfolio Autopilot — ${result.timestamp} ===\\n`);\n199\t\n200\t for (const p of providers) {\n201\t const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n202\t const rem5 = p5h ? remaining(p5h).toFixed(0) : \"?\";\n203\t const rem7 = p7d ? remaining(p7d).toFixed(0) : \"?\";\n204\t const r5 = p5h ? (p5h.resets_in_sec < 0 ? \"just reset\" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : \"\";\n205\t const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : \"\";\n206\t console.log(`${p.name.padEnd(8)} 5h: ${rem5.padStart(3)}% remaining (${r5}) 7d: ${rem7.padStart(3)}% remaining (${r7})`);\n207\t }\n208\t\n209\t console.log(`\\nClaude burnable — 5h: ${burnable5h.toFixed(1)}% 7d: ${burnable7d.toFixed(1)}% effective: ${burnable.toFixed(1)}%`);"}]},"uuid":"3fa5d5f3-2f1f-4514-a40a-fde0f0284d61","timestamp":"2026-07-07T15:04:01.840Z","toolUseResult":{"type":"text","file":{"filePath":"/workspace/agent/autopilot.mjs","content":"async function main() {\n let data;\n try {\n data = await fetchUsage();\n } catch (err) {\n const out = { error: `Failed to reach CodexBar: ${err.message}`, burnable: 0 };\n if (JSON_MODE) console.log(JSON.stringify(out));\n else console.error(out.error);\n process.exit(1);\n }\n\n const providers = data.providers ?? [];\n\n // Claude is the constraint for autonomous work routing\n const claudeProvider = providers.find((p) => /claude/i.test(p.name ?? \"\")) ?? null;\n const { w5h, w7d } = extractWindows(claudeProvider?.windows ?? []);\n\n const burnable5h = computeBurnable(w5h, config.reserve_5h_pct);\n const burnable7d = computeBurnable(w7d, config.reserve_7d_pct);\n const burnable = Math.min(burnable5h, burnable7d);\n\n if (CHECK_MODE) {\n process.stdout.write(burnable.toFixed(1) + \"\\n\");\n return;\n }\n\n const tier = quotaTier(burnable);\n const projects = routeProjects(tier, w7d);\n\n // Reset time for the tighter window (5h if depleted, else whichever is constraining)\n const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;\n const resetAt = nextResetAt(constraintWindow);\n\n const result = {\n timestamp: new Date().toISOString(),\n providers: providers.map((p) => {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n return {\n name: p.name,\n \"5h\": p5h ? {\n used_pct: p5h.pct,\n remaining_pct: remaining(p5h),\n resets_in_sec: p5h.resets_in_sec,\n } : null,\n \"7d\": p7d ? {\n used_pct: p7d.pct,\n remaining_pct: remaining(p7d),\n resets_in_sec: p7d.resets_in_sec,\n } : null,\n };\n }),\n claude: {\n \"5h\": w5h ? { used_pct: w5h.pct, remaining_pct: remaining(w5h), burnable_pct: +burnable5h.toFixed(1), resets_in_sec: w5h.resets_in_sec } : null,\n \"7d\": w7d ? { used_pct: w7d.pct, remaining_pct: remaining(w7d), burnable_pct: +burnable7d.toFixed(1), resets_in_sec: w7d.resets_in_sec } : null,\n },\n burnable_pct: +burnable.toFixed(1),\n tier: tier.tier,\n tier_label: tier.label,\n next_reset_at: resetAt,\n projects,\n };\n\n if (JSON_MODE) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n\n // Human-readable summary\n console.log(`\\n=== Portfolio Autopilot — ${result.timestamp} ===\\n`);\n\n for (const p of providers) {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n const rem5 = p5h ? remaining(p5h).toFixed(0) : \"?\";\n const rem7 = p7d ? remaining(p7d).toFixed(0) : \"?\";\n const r5 = p5h ? (p5h.resets_in_sec < 0 ? \"just reset\" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : \"\";\n const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : \"\";\n console.log(`${p.name.padEnd(8)} 5h: ${rem5.padStart(3)}% remaining (${r5}) 7d: ${rem7.padStart(3)}% remaining (${r7})`);\n }\n\n console.log(`\\nClaude burnable — 5h: ${burnable5h.toFixed(1)}% 7d: ${burnable7d.toFixed(1)}% effective: ${burnable.toFixed(1)}%`);","numLines":80,"startLine":130,"totalLines":237}},"sourceToolAssistantUUID":"1d169fc9-7655-4878-95c5-a136443f61e1","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"type":"ai-title","aiTitle":"Check project status and verify fixes","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"3fa5d5f3-2f1f-4514-a40a-fde0f0284d61","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuFocVuaGLWmry69uRw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Tc9xcXaKeuSy45QSmteVu7","name":"Edit","input":{"replace_all":false,"file_path":"/workspace/agent/autopilot.mjs","old_string":" const result = {\n timestamp: new Date().toISOString(),\n providers: providers.map((p) => {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n return {\n name: p.name,\n \"5h\": p5h ? {\n used_pct: p5h.pct,\n remaining_pct: remaining(p5h),\n resets_in_sec: p5h.resets_in_sec,\n } : null,\n \"7d\": p7d ? {\n used_pct: p7d.pct,\n remaining_pct: remaining(p7d),\n resets_in_sec: p7d.resets_in_sec,\n } : null,\n };\n }),\n claude: {","new_string":" const untrackedProviders = (config.untracked_providers ?? []).map((p) => ({\n name: p.name,\n tracked: false,\n note: p.note,\n }));\n\n const result = {\n timestamp: new Date().toISOString(),\n providers: [\n ...providers.map((p) => {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n return {\n name: p.name,\n tracked: true,\n \"5h\": p5h ? {\n used_pct: p5h.pct,\n remaining_pct: remaining(p5h),\n resets_in_sec: p5h.resets_in_sec,\n } : null,\n \"7d\": p7d ? {\n used_pct: p7d.pct,\n remaining_pct: remaining(p7d),\n resets_in_sec: p7d.resets_in_sec,\n } : null,\n };\n }),\n ...untrackedProviders,\n ],\n claude: {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1475,"cache_read_input_tokens":63981,"output_tokens":595,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1475},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":595,"cache_read_input_tokens":63981,"cache_creation_input_tokens":1475,"cache_creation":{"ephemeral_5m_input_tokens":1475,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuFnrrZJpdpeZNuXnCT","type":"assistant","uuid":"e852513b-586d-4758-8f9c-037a61392d32","timestamp":"2026-07-07T15:04:08.078Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"e852513b-586d-4758-8f9c-037a61392d32","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Tc9xcXaKeuSy45QSmteVu7","type":"tool_result","content":"The file /workspace/agent/autopilot.mjs has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"5c6fd32a-dda7-4b9b-ad2e-86d91c47cc24","timestamp":"2026-07-07T15:04:08.097Z","toolUseResult":{"filePath":"/workspace/agent/autopilot.mjs","oldString":" const result = {\n timestamp: new Date().toISOString(),\n providers: providers.map((p) => {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n return {\n name: p.name,\n \"5h\": p5h ? {\n used_pct: p5h.pct,\n remaining_pct: remaining(p5h),\n resets_in_sec: p5h.resets_in_sec,\n } : null,\n \"7d\": p7d ? {\n used_pct: p7d.pct,\n remaining_pct: remaining(p7d),\n resets_in_sec: p7d.resets_in_sec,\n } : null,\n };\n }),\n claude: {","newString":" const untrackedProviders = (config.untracked_providers ?? []).map((p) => ({\n name: p.name,\n tracked: false,\n note: p.note,\n }));\n\n const result = {\n timestamp: new Date().toISOString(),\n providers: [\n ...providers.map((p) => {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n return {\n name: p.name,\n tracked: true,\n \"5h\": p5h ? {\n used_pct: p5h.pct,\n remaining_pct: remaining(p5h),\n resets_in_sec: p5h.resets_in_sec,\n } : null,\n \"7d\": p7d ? {\n used_pct: p7d.pct,\n remaining_pct: remaining(p7d),\n resets_in_sec: p7d.resets_in_sec,\n } : null,\n };\n }),\n ...untrackedProviders,\n ],\n claude: {","originalFile":"/**\n * Portfolio Autopilot — quota reader + routing logic\n *\n * Reads CodexBar usage, computes burnable quota, and outputs a routing decision:\n * which projects are eligible to run and at what model tier.\n *\n * Usage:\n * node autopilot.mjs → prints routing summary to stdout\n * node autopilot.mjs --json → prints routing decision as JSON\n * node autopilot.mjs --check → prints only burnable pct (for scripts)\n *\n * NOTE: CodexBar `pct` field = percent USED (consumed). Remaining = 100 - pct.\n */\n\n// Bypass proxy for local Docker host\nprocess.env.NO_PROXY = [process.env.NO_PROXY, \"host.docker.internal\"]\n .filter(Boolean)\n .join(\",\");\n\nimport { readFileSync } from \"fs\";\nimport { fileURLToPath } from \"url\";\nimport { dirname, join } from \"path\";\n\nconst __dirname = dirname(fileURLToPath(import.meta.url));\nconst config = JSON.parse(\n readFileSync(join(__dirname, \"autopilot-config.json\"), \"utf8\")\n);\n\nconst JSON_MODE = process.argv.includes(\"--json\");\nconst CHECK_MODE = process.argv.includes(\"--check\");\n\n// ─── Quota Reader ────────────────────────────────────────────────────────────\n\nasync function fetchUsage() {\n const res = await fetch(config.codexbar_url);\n if (!res.ok) throw new Error(`CodexBar returned ${res.status}`);\n return res.json();\n}\n\n/** pct = percent used; remaining = 100 - pct */\nfunction remaining(window) {\n return 100 - (window?.pct ?? 100);\n}\n\n/**\n * Extract matching windows from a provider's windows array.\n * Returns { w5h, w7d } — each has .label, .pct (used%), .resets_in_sec, .duration_sec\n */\nfunction extractWindows(windows = []) {\n const w5h = windows.find((w) => Math.abs(w.duration_sec - 18000) < 300) ?? null;\n const w7d = windows.find((w) => Math.abs(w.duration_sec - 604800) < 600) ?? null;\n return { w5h, w7d };\n}\n\n/** resets_in_sec = -1 means the window just reset (no timer established yet); treat as full duration */\nfunction effectiveResetsIn(window) {\n if (!window) return 0;\n return window.resets_in_sec < 0 ? window.duration_sec : window.resets_in_sec;\n}\n\n/** ISO timestamp for when this window resets */\nfunction nextResetAt(window) {\n if (!window) return null;\n const sec = effectiveResetsIn(window);\n return new Date(Date.now() + sec * 1000).toISOString();\n}\n\n// ─── Adaptive Reserve Formula ────────────────────────────────────────────────\n\n/**\n * adaptive_reserve_pct = base_reserve_pct × (resets_in_sec / window_duration_sec)\n * burnable_pct = remaining_pct − adaptive_reserve_pct\n */\nfunction computeBurnable(window, basePct) {\n if (!window) return 0;\n const rem = remaining(window);\n if (rem <= 0) return 0;\n const timeRatio = effectiveResetsIn(window) / window.duration_sec;\n const adaptiveReserve = basePct * timeRatio;\n return Math.max(0, rem - adaptiveReserve);\n}\n\n// ─── Tier Routing ────────────────────────────────────────────────────────────\n\nfunction quotaTier(burnablePct) {\n if (burnablePct <= 0) return { tier: \"zero\", label: \"No autonomous work\", allowedPriorities: [], implementationModel: null };\n if (burnablePct < 5) return { tier: \"minimal\", label: \"Maintenance only (LM Studio)\", allowedPriorities: [\"P1\"], implementationModel: \"lm-studio\" };\n if (burnablePct < 20) return { tier: \"low\", label: \"P1 only — Gemini/Haiku\", allowedPriorities: [\"P1\"], implementationModel: \"gemini-or-haiku\" };\n if (burnablePct < 50) return { tier: \"medium\", label: \"P1+P2 — Claude Sonnet\", allowedPriorities: [\"P1\", \"P2\"], implementationModel: \"claude-sonnet\" };\n return { tier: \"high\", label: \"P1+P2+P3 — Claude Sonnet\", allowedPriorities: [\"P1\", \"P2\", \"P3\"], implementationModel: \"claude-sonnet\" };\n}\n\n/**\n * Sustainable burn rate gate for P2/P3.\n * Passes if actual consumption is below the smooth-curve expected level.\n */\nfunction sustainableGatePasses(window) {\n if (!window) return false;\n const windowHours = window.duration_sec / 3600;\n const resets = effectiveResetsIn(window);\n const elapsedHours = (window.duration_sec - resets) / 3600;\n const expectedConsumed = (100 / windowHours) * elapsedHours;\n const actualConsumed = window.pct ?? 0; // pct = used%\n return actualConsumed < expectedConsumed;\n}\n\n// ─── Project Routing ─────────────────────────────────────────────────────────\n\nfunction routeProjects(tier, w7d) {\n const sustainableGate = w7d ? sustainableGatePasses(w7d) : true;\n const projects = [];\n\n for (const [project, priority] of Object.entries(config.project_priorities)) {\n if (!tier.allowedPriorities.includes(priority)) {\n projects.push({ project, priority, decision: \"skip\", reason: \"quota tier\" });\n continue;\n }\n if (priority !== \"P1\" && !sustainableGate) {\n projects.push({ project, priority, decision: \"skip\", reason: \"burn rate above sustainable pace\" });\n continue;\n }\n projects.push({ project, priority, decision: \"proceed\", implementationModel: tier.implementationModel });\n }\n\n return projects;\n}\n\n// ─── Main ────────────────────────────────────────────────────────────────────\n\nasync function main() {\n let data;\n try {\n data = await fetchUsage();\n } catch (err) {\n const out = { error: `Failed to reach CodexBar: ${err.message}`, burnable: 0 };\n if (JSON_MODE) console.log(JSON.stringify(out));\n else console.error(out.error);\n process.exit(1);\n }\n\n const providers = data.providers ?? [];\n\n // Claude is the constraint for autonomous work routing\n const claudeProvider = providers.find((p) => /claude/i.test(p.name ?? \"\")) ?? null;\n const { w5h, w7d } = extractWindows(claudeProvider?.windows ?? []);\n\n const burnable5h = computeBurnable(w5h, config.reserve_5h_pct);\n const burnable7d = computeBurnable(w7d, config.reserve_7d_pct);\n const burnable = Math.min(burnable5h, burnable7d);\n\n if (CHECK_MODE) {\n process.stdout.write(burnable.toFixed(1) + \"\\n\");\n return;\n }\n\n const tier = quotaTier(burnable);\n const projects = routeProjects(tier, w7d);\n\n // Reset time for the tighter window (5h if depleted, else whichever is constraining)\n const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;\n const resetAt = nextResetAt(constraintWindow);\n\n const result = {\n timestamp: new Date().toISOString(),\n providers: providers.map((p) => {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n return {\n name: p.name,\n \"5h\": p5h ? {\n used_pct: p5h.pct,\n remaining_pct: remaining(p5h),\n resets_in_sec: p5h.resets_in_sec,\n } : null,\n \"7d\": p7d ? {\n used_pct: p7d.pct,\n remaining_pct: remaining(p7d),\n resets_in_sec: p7d.resets_in_sec,\n } : null,\n };\n }),\n claude: {\n \"5h\": w5h ? { used_pct: w5h.pct, remaining_pct: remaining(w5h), burnable_pct: +burnable5h.toFixed(1), resets_in_sec: w5h.resets_in_sec } : null,\n \"7d\": w7d ? { used_pct: w7d.pct, remaining_pct: remaining(w7d), burnable_pct: +burnable7d.toFixed(1), resets_in_sec: w7d.resets_in_sec } : null,\n },\n burnable_pct: +burnable.toFixed(1),\n tier: tier.tier,\n tier_label: tier.label,\n next_reset_at: resetAt,\n projects,\n };\n\n if (JSON_MODE) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n\n // Human-readable summary\n console.log(`\\n=== Portfolio Autopilot — ${result.timestamp} ===\\n`);\n\n for (const p of providers) {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n const rem5 = p5h ? remaining(p5h).toFixed(0) : \"?\";\n const rem7 = p7d ? remaining(p7d).toFixed(0) : \"?\";\n const r5 = p5h ? (p5h.resets_in_sec < 0 ? \"just reset\" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : \"\";\n const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : \"\";\n console.log(`${p.name.padEnd(8)} 5h: ${rem5.padStart(3)}% remaining (${r5}) 7d: ${rem7.padStart(3)}% remaining (${r7})`);\n }\n\n console.log(`\\nClaude burnable — 5h: ${burnable5h.toFixed(1)}% 7d: ${burnable7d.toFixed(1)}% effective: ${burnable.toFixed(1)}%`);\n console.log(`Quota tier: ${tier.tier.toUpperCase()} — ${tier.label}`);\n if (resetAt) console.log(`Next reset: ${resetAt}`);\n console.log();\n\n const proceeding = projects.filter((p) => p.decision === \"proceed\");\n const skipped = projects.filter((p) => p.decision === \"skip\");\n\n if (proceeding.length === 0) {\n console.log(\"No projects eligible to run.\");\n } else {\n console.log(\"Eligible projects:\");\n for (const p of proceeding) {\n console.log(` ✓ ${p.project} (${p.priority}) — model: ${p.implementationModel}`);\n }\n }\n\n if (skipped.length > 0) {\n console.log(\"\\nSkipped:\");\n for (const p of skipped) {\n console.log(` ✗ ${p.project} (${p.priority}) — ${p.reason}`);\n }\n }\n\n console.log(\"\");\n}\n\nmain();\n","structuredPatch":[{"oldStart":160,"oldLines":24,"newStart":160,"newLines":34,"lines":[" const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;"," const resetAt = nextResetAt(constraintWindow);"," ","+ const untrackedProviders = (config.untracked_providers ?? []).map((p) => ({","+ name: p.name,","+ tracked: false,","+ note: p.note,","+ }));","+"," const result = {"," timestamp: new Date().toISOString(),","- providers: providers.map((p) => {","- const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);","- return {","- name: p.name,","- \"5h\": p5h ? {","- used_pct: p5h.pct,","- remaining_pct: remaining(p5h),","- resets_in_sec: p5h.resets_in_sec,","- } : null,","- \"7d\": p7d ? {","- used_pct: p7d.pct,","- remaining_pct: remaining(p7d),","- resets_in_sec: p7d.resets_in_sec,","- } : null,","- };","- }),","+ providers: [","+ ...providers.map((p) => {","+ const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);","+ return {","+ name: p.name,","+ tracked: true,","+ \"5h\": p5h ? {","+ used_pct: p5h.pct,","+ remaining_pct: remaining(p5h),","+ resets_in_sec: p5h.resets_in_sec,","+ } : null,","+ \"7d\": p7d ? {","+ used_pct: p7d.pct,","+ remaining_pct: remaining(p7d),","+ resets_in_sec: p7d.resets_in_sec,","+ } : null,","+ };","+ }),","+ ...untrackedProviders,","+ ],"," claude: {"," \"5h\": w5h ? { used_pct: w5h.pct, remaining_pct: remaining(w5h), burnable_pct: +burnable5h.toFixed(1), resets_in_sec: w5h.resets_in_sec } : null,"," \"7d\": w7d ? { used_pct: w7d.pct, remaining_pct: remaining(w7d), burnable_pct: +burnable7d.toFixed(1), resets_in_sec: w7d.resets_in_sec } : null,"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"e852513b-586d-4758-8f9c-037a61392d32","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"5c6fd32a-dda7-4b9b-ad2e-86d91c47cc24","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuGHJdjpWHNpbw2QSXt","type":"message","role":"assistant","content":[{"type":"text","text":"Now update the human-readable output to show untracked providers too:"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":659,"cache_read_input_tokens":65456,"output_tokens":679,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":659},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":679,"cache_read_input_tokens":65456,"cache_creation_input_tokens":659,"cache_creation":{"ephemeral_5m_input_tokens":659,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuGFobQPvHGqgPgW3zS","type":"assistant","uuid":"ff8cc40a-e6e8-4ef8-aab4-56a85cdedcbb","timestamp":"2026-07-07T15:04:11.094Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"ff8cc40a-e6e8-4ef8-aab4-56a85cdedcbb","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuGHJdjpWHNpbw2QSXt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GZQJo17DF23jdjTsVzKwhz","name":"Edit","input":{"replace_all":false,"file_path":"/workspace/agent/autopilot.mjs","old_string":" for (const p of providers) {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n const rem5 = p5h ? remaining(p5h).toFixed(0) : \"?\";\n const rem7 = p7d ? remaining(p7d).toFixed(0) : \"?\";\n const r5 = p5h ? (p5h.resets_in_sec < 0 ? \"just reset\" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : \"\";\n const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : \"\";\n console.log(`${p.name.padEnd(8)} 5h: ${rem5.padStart(3)}% remaining (${r5}) 7d: ${rem7.padStart(3)}% remaining (${r7})`);\n }","new_string":" for (const p of providers) {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n const rem5 = p5h ? remaining(p5h).toFixed(0) : \"?\";\n const rem7 = p7d ? remaining(p7d).toFixed(0) : \"?\";\n const r5 = p5h ? (p5h.resets_in_sec < 0 ? \"just reset\" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : \"\";\n const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : \"\";\n console.log(`${p.name.padEnd(8)} 5h: ${rem5.padStart(3)}% remaining (${r5}) 7d: ${rem7.padStart(3)}% remaining (${r7})`);\n }\n for (const p of untrackedProviders) {\n console.log(`${p.name.padEnd(8)} (untracked — always available)`);\n }"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":659,"cache_read_input_tokens":65456,"output_tokens":679,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":659},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":679,"cache_read_input_tokens":65456,"cache_creation_input_tokens":659,"cache_creation":{"ephemeral_5m_input_tokens":659,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuGFobQPvHGqgPgW3zS","type":"assistant","uuid":"fd14cf38-5e22-439c-a89c-72a40dfe91e7","timestamp":"2026-07-07T15:04:16.008Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"fd14cf38-5e22-439c-a89c-72a40dfe91e7","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GZQJo17DF23jdjTsVzKwhz","type":"tool_result","content":"The file /workspace/agent/autopilot.mjs has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"e034e8df-517c-4126-8613-6440ea244a7f","timestamp":"2026-07-07T15:04:16.019Z","toolUseResult":{"filePath":"/workspace/agent/autopilot.mjs","oldString":" for (const p of providers) {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n const rem5 = p5h ? remaining(p5h).toFixed(0) : \"?\";\n const rem7 = p7d ? remaining(p7d).toFixed(0) : \"?\";\n const r5 = p5h ? (p5h.resets_in_sec < 0 ? \"just reset\" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : \"\";\n const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : \"\";\n console.log(`${p.name.padEnd(8)} 5h: ${rem5.padStart(3)}% remaining (${r5}) 7d: ${rem7.padStart(3)}% remaining (${r7})`);\n }","newString":" for (const p of providers) {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n const rem5 = p5h ? remaining(p5h).toFixed(0) : \"?\";\n const rem7 = p7d ? remaining(p7d).toFixed(0) : \"?\";\n const r5 = p5h ? (p5h.resets_in_sec < 0 ? \"just reset\" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : \"\";\n const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : \"\";\n console.log(`${p.name.padEnd(8)} 5h: ${rem5.padStart(3)}% remaining (${r5}) 7d: ${rem7.padStart(3)}% remaining (${r7})`);\n }\n for (const p of untrackedProviders) {\n console.log(`${p.name.padEnd(8)} (untracked — always available)`);\n }","originalFile":"/**\n * Portfolio Autopilot — quota reader + routing logic\n *\n * Reads CodexBar usage, computes burnable quota, and outputs a routing decision:\n * which projects are eligible to run and at what model tier.\n *\n * Usage:\n * node autopilot.mjs → prints routing summary to stdout\n * node autopilot.mjs --json → prints routing decision as JSON\n * node autopilot.mjs --check → prints only burnable pct (for scripts)\n *\n * NOTE: CodexBar `pct` field = percent USED (consumed). Remaining = 100 - pct.\n */\n\n// Bypass proxy for local Docker host\nprocess.env.NO_PROXY = [process.env.NO_PROXY, \"host.docker.internal\"]\n .filter(Boolean)\n .join(\",\");\n\nimport { readFileSync } from \"fs\";\nimport { fileURLToPath } from \"url\";\nimport { dirname, join } from \"path\";\n\nconst __dirname = dirname(fileURLToPath(import.meta.url));\nconst config = JSON.parse(\n readFileSync(join(__dirname, \"autopilot-config.json\"), \"utf8\")\n);\n\nconst JSON_MODE = process.argv.includes(\"--json\");\nconst CHECK_MODE = process.argv.includes(\"--check\");\n\n// ─── Quota Reader ────────────────────────────────────────────────────────────\n\nasync function fetchUsage() {\n const res = await fetch(config.codexbar_url);\n if (!res.ok) throw new Error(`CodexBar returned ${res.status}`);\n return res.json();\n}\n\n/** pct = percent used; remaining = 100 - pct */\nfunction remaining(window) {\n return 100 - (window?.pct ?? 100);\n}\n\n/**\n * Extract matching windows from a provider's windows array.\n * Returns { w5h, w7d } — each has .label, .pct (used%), .resets_in_sec, .duration_sec\n */\nfunction extractWindows(windows = []) {\n const w5h = windows.find((w) => Math.abs(w.duration_sec - 18000) < 300) ?? null;\n const w7d = windows.find((w) => Math.abs(w.duration_sec - 604800) < 600) ?? null;\n return { w5h, w7d };\n}\n\n/** resets_in_sec = -1 means the window just reset (no timer established yet); treat as full duration */\nfunction effectiveResetsIn(window) {\n if (!window) return 0;\n return window.resets_in_sec < 0 ? window.duration_sec : window.resets_in_sec;\n}\n\n/** ISO timestamp for when this window resets */\nfunction nextResetAt(window) {\n if (!window) return null;\n const sec = effectiveResetsIn(window);\n return new Date(Date.now() + sec * 1000).toISOString();\n}\n\n// ─── Adaptive Reserve Formula ────────────────────────────────────────────────\n\n/**\n * adaptive_reserve_pct = base_reserve_pct × (resets_in_sec / window_duration_sec)\n * burnable_pct = remaining_pct − adaptive_reserve_pct\n */\nfunction computeBurnable(window, basePct) {\n if (!window) return 0;\n const rem = remaining(window);\n if (rem <= 0) return 0;\n const timeRatio = effectiveResetsIn(window) / window.duration_sec;\n const adaptiveReserve = basePct * timeRatio;\n return Math.max(0, rem - adaptiveReserve);\n}\n\n// ─── Tier Routing ────────────────────────────────────────────────────────────\n\nfunction quotaTier(burnablePct) {\n if (burnablePct <= 0) return { tier: \"zero\", label: \"No autonomous work\", allowedPriorities: [], implementationModel: null };\n if (burnablePct < 5) return { tier: \"minimal\", label: \"Maintenance only (LM Studio)\", allowedPriorities: [\"P1\"], implementationModel: \"lm-studio\" };\n if (burnablePct < 20) return { tier: \"low\", label: \"P1 only — Gemini/Haiku\", allowedPriorities: [\"P1\"], implementationModel: \"gemini-or-haiku\" };\n if (burnablePct < 50) return { tier: \"medium\", label: \"P1+P2 — Claude Sonnet\", allowedPriorities: [\"P1\", \"P2\"], implementationModel: \"claude-sonnet\" };\n return { tier: \"high\", label: \"P1+P2+P3 — Claude Sonnet\", allowedPriorities: [\"P1\", \"P2\", \"P3\"], implementationModel: \"claude-sonnet\" };\n}\n\n/**\n * Sustainable burn rate gate for P2/P3.\n * Passes if actual consumption is below the smooth-curve expected level.\n */\nfunction sustainableGatePasses(window) {\n if (!window) return false;\n const windowHours = window.duration_sec / 3600;\n const resets = effectiveResetsIn(window);\n const elapsedHours = (window.duration_sec - resets) / 3600;\n const expectedConsumed = (100 / windowHours) * elapsedHours;\n const actualConsumed = window.pct ?? 0; // pct = used%\n return actualConsumed < expectedConsumed;\n}\n\n// ─── Project Routing ─────────────────────────────────────────────────────────\n\nfunction routeProjects(tier, w7d) {\n const sustainableGate = w7d ? sustainableGatePasses(w7d) : true;\n const projects = [];\n\n for (const [project, priority] of Object.entries(config.project_priorities)) {\n if (!tier.allowedPriorities.includes(priority)) {\n projects.push({ project, priority, decision: \"skip\", reason: \"quota tier\" });\n continue;\n }\n if (priority !== \"P1\" && !sustainableGate) {\n projects.push({ project, priority, decision: \"skip\", reason: \"burn rate above sustainable pace\" });\n continue;\n }\n projects.push({ project, priority, decision: \"proceed\", implementationModel: tier.implementationModel });\n }\n\n return projects;\n}\n\n// ─── Main ────────────────────────────────────────────────────────────────────\n\nasync function main() {\n let data;\n try {\n data = await fetchUsage();\n } catch (err) {\n const out = { error: `Failed to reach CodexBar: ${err.message}`, burnable: 0 };\n if (JSON_MODE) console.log(JSON.stringify(out));\n else console.error(out.error);\n process.exit(1);\n }\n\n const providers = data.providers ?? [];\n\n // Claude is the constraint for autonomous work routing\n const claudeProvider = providers.find((p) => /claude/i.test(p.name ?? \"\")) ?? null;\n const { w5h, w7d } = extractWindows(claudeProvider?.windows ?? []);\n\n const burnable5h = computeBurnable(w5h, config.reserve_5h_pct);\n const burnable7d = computeBurnable(w7d, config.reserve_7d_pct);\n const burnable = Math.min(burnable5h, burnable7d);\n\n if (CHECK_MODE) {\n process.stdout.write(burnable.toFixed(1) + \"\\n\");\n return;\n }\n\n const tier = quotaTier(burnable);\n const projects = routeProjects(tier, w7d);\n\n // Reset time for the tighter window (5h if depleted, else whichever is constraining)\n const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;\n const resetAt = nextResetAt(constraintWindow);\n\n const untrackedProviders = (config.untracked_providers ?? []).map((p) => ({\n name: p.name,\n tracked: false,\n note: p.note,\n }));\n\n const result = {\n timestamp: new Date().toISOString(),\n providers: [\n ...providers.map((p) => {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n return {\n name: p.name,\n tracked: true,\n \"5h\": p5h ? {\n used_pct: p5h.pct,\n remaining_pct: remaining(p5h),\n resets_in_sec: p5h.resets_in_sec,\n } : null,\n \"7d\": p7d ? {\n used_pct: p7d.pct,\n remaining_pct: remaining(p7d),\n resets_in_sec: p7d.resets_in_sec,\n } : null,\n };\n }),\n ...untrackedProviders,\n ],\n claude: {\n \"5h\": w5h ? { used_pct: w5h.pct, remaining_pct: remaining(w5h), burnable_pct: +burnable5h.toFixed(1), resets_in_sec: w5h.resets_in_sec } : null,\n \"7d\": w7d ? { used_pct: w7d.pct, remaining_pct: remaining(w7d), burnable_pct: +burnable7d.toFixed(1), resets_in_sec: w7d.resets_in_sec } : null,\n },\n burnable_pct: +burnable.toFixed(1),\n tier: tier.tier,\n tier_label: tier.label,\n next_reset_at: resetAt,\n projects,\n };\n\n if (JSON_MODE) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n\n // Human-readable summary\n console.log(`\\n=== Portfolio Autopilot — ${result.timestamp} ===\\n`);\n\n for (const p of providers) {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n const rem5 = p5h ? remaining(p5h).toFixed(0) : \"?\";\n const rem7 = p7d ? remaining(p7d).toFixed(0) : \"?\";\n const r5 = p5h ? (p5h.resets_in_sec < 0 ? \"just reset\" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : \"\";\n const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : \"\";\n console.log(`${p.name.padEnd(8)} 5h: ${rem5.padStart(3)}% remaining (${r5}) 7d: ${rem7.padStart(3)}% remaining (${r7})`);\n }\n\n console.log(`\\nClaude burnable — 5h: ${burnable5h.toFixed(1)}% 7d: ${burnable7d.toFixed(1)}% effective: ${burnable.toFixed(1)}%`);\n console.log(`Quota tier: ${tier.tier.toUpperCase()} — ${tier.label}`);\n if (resetAt) console.log(`Next reset: ${resetAt}`);\n console.log();\n\n const proceeding = projects.filter((p) => p.decision === \"proceed\");\n const skipped = projects.filter((p) => p.decision === \"skip\");\n\n if (proceeding.length === 0) {\n console.log(\"No projects eligible to run.\");\n } else {\n console.log(\"Eligible projects:\");\n for (const p of proceeding) {\n console.log(` ✓ ${p.project} (${p.priority}) — model: ${p.implementationModel}`);\n }\n }\n\n if (skipped.length > 0) {\n console.log(\"\\nSkipped:\");\n for (const p of skipped) {\n console.log(` ✗ ${p.project} (${p.priority}) — ${p.reason}`);\n }\n }\n\n console.log(\"\");\n}\n\nmain();\n","structuredPatch":[{"oldStart":215,"oldLines":6,"newStart":215,"newLines":9,"lines":[" const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : \"\";"," console.log(`${p.name.padEnd(8)} 5h: ${rem5.padStart(3)}% remaining (${r5}) 7d: ${rem7.padStart(3)}% remaining (${r7})`);"," }","+ for (const p of untrackedProviders) {","+ console.log(`${p.name.padEnd(8)} (untracked — always available)`);","+ }"," "," console.log(`\\nClaude burnable — 5h: ${burnable5h.toFixed(1)}% 7d: ${burnable7d.toFixed(1)}% effective: ${burnable.toFixed(1)}%`);"," console.log(`Quota tier: ${tier.tier.toUpperCase()} — ${tier.label}`);"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"fd14cf38-5e22-439c-a89c-72a40dfe91e7","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"last-prompt","leafUuid":"e034e8df-517c-4126-8613-6440ea244a7f","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"type":"ai-title","aiTitle":"Check project status and verify fixes","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"e034e8df-517c-4126-8613-6440ea244a7f","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuGryBuQ47bPVG5HdTY","type":"message","role":"assistant","content":[{"type":"text","text":"Now update the autopilot-trigger.mjs to include untracked providers in the JSON it passes to the prompt:"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":724,"cache_read_input_tokens":66115,"output_tokens":92,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":724},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":92,"cache_read_input_tokens":66115,"cache_creation_input_tokens":724,"cache_creation":{"ephemeral_5m_input_tokens":724,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuGrQhTyvv4AyD49obb","type":"assistant","uuid":"be7628f8-c1ca-4e57-861b-b1f901b01f0e","timestamp":"2026-07-07T15:04:18.382Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"be7628f8-c1ca-4e57-861b-b1f901b01f0e","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuGryBuQ47bPVG5HdTY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0127sxZhpNRdAzmzH55SHowR","name":"Read","input":{"file_path":"/workspace/agent/autopilot-trigger.mjs"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":724,"cache_read_input_tokens":66115,"output_tokens":92,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":724},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":92,"cache_read_input_tokens":66115,"cache_creation_input_tokens":724,"cache_creation":{"ephemeral_5m_input_tokens":724,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuGrQhTyvv4AyD49obb","type":"assistant","uuid":"1681adfe-a529-4fef-be88-58521740d18e","timestamp":"2026-07-07T15:04:18.494Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"1681adfe-a529-4fef-be88-58521740d18e","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0127sxZhpNRdAzmzH55SHowR","type":"tool_result","content":"1\t/**\n2\t * autopilot-trigger.mjs — scheduled trigger script for portfolio-autopilot\n3\t *\n4\t * Returns { wakeAgent: true, data } when burnable quota exists and eligible projects are ready.\n5\t * Returns { wakeAgent: false, reason, next_reset_at? } otherwise.\n6\t *\n7\t * NOTE: CodexBar `pct` = percent USED. remaining = 100 - pct.\n8\t */\n9\t\n10\tprocess.env.NO_PROXY = [process.env.NO_PROXY, \"host.docker.internal\"]\n11\t .filter(Boolean)\n12\t .join(\",\");\n13\t\n14\timport { readFileSync } from \"fs\";\n15\timport { fileURLToPath } from \"url\";\n16\timport { dirname, join } from \"path\";\n17\t\n18\tconst __dirname = dirname(fileURLToPath(import.meta.url));\n19\tconst config = JSON.parse(\n20\t readFileSync(join(__dirname, \"autopilot-config.json\"), \"utf8\")\n21\t);\n22\t\n23\tfunction remaining(w) { return 100 - (w?.pct ?? 100); }\n24\tfunction effectiveResetsIn(w) { return (!w || w.resets_in_sec < 0) ? (w?.duration_sec ?? 0) : w.resets_in_sec; }\n25\tfunction nextResetAt(w) { if (!w) return null; return new Date(Date.now() + effectiveResetsIn(w) * 1000).toISOString(); }\n26\t\n27\tfunction extractWindows(windows = []) {\n28\t return {\n29\t w5h: windows.find((w) => Math.abs(w.duration_sec - 18000) < 300) ?? null,\n30\t w7d: windows.find((w) => Math.abs(w.duration_sec - 604800) < 600) ?? null,\n31\t };\n32\t}\n33\t\n34\tfunction computeBurnable(w, basePct) {\n35\t if (!w) return 0;\n36\t const rem = remaining(w);\n37\t if (rem <= 0) return 0;\n38\t const timeRatio = effectiveResetsIn(w) / w.duration_sec;\n39\t return Math.max(0, rem - basePct * timeRatio);\n40\t}\n41\t\n42\tfunction quotaTier(burnablePct) {\n43\t if (burnablePct <= 0) return { tier: \"zero\", allowedPriorities: [], implementationModel: null };\n44\t if (burnablePct < 5) return { tier: \"minimal\", allowedPriorities: [\"P1\"], implementationModel: \"lm-studio\" };\n45\t if (burnablePct < 20) return { tier: \"low\", allowedPriorities: [\"P1\"], implementationModel: \"gemini-or-haiku\" };\n46\t if (burnablePct < 50) return { tier: \"medium\", allowedPriorities: [\"P1\", \"P2\"], implementationModel: \"claude-sonnet\" };\n47\t return { tier: \"high\", allowedPriorities: [\"P1\", \"P2\", \"P3\"], implementationModel: \"claude-sonnet\" };\n48\t}\n49\t\n50\tfunction sustainableGatePasses(w) {\n51\t if (!w) return false;\n52\t const elapsedHours = (w.duration_sec - effectiveResetsIn(w)) / 3600;\n53\t const expectedConsumed = (100 / (w.duration_sec / 3600)) * elapsedHours;\n54\t return (w.pct ?? 0) < expectedConsumed; // pct = used%\n55\t}\n56\t\n57\tasync function main() {\n58\t let data;\n59\t try {\n60\t const res = await fetch(config.codexbar_url);\n61\t if (!res.ok) throw new Error(`HTTP ${res.status}`);\n62\t data = await res.json();\n63\t } catch (err) {\n64\t console.log(JSON.stringify({ wakeAgent: false, reason: `codexbar_unreachable: ${err.message}` }));\n65\t return;\n66\t }\n67\t\n68\t const providers = data.providers ?? [];\n69\t const claudeProvider = providers.find((p) => /claude/i.test(p.name ?? \"\")) ?? null;\n70\t const { w5h, w7d } = extractWindows(claudeProvider?.windows ?? []);\n71\t\n72\t const burnable5h = computeBurnable(w5h, config.reserve_5h_pct);\n73\t const burnable7d = computeBurnable(w7d, config.reserve_7d_pct);\n74\t const burnable = Math.min(burnable5h, burnable7d);\n75\t\n76\t // Next reset time — for the constraining window, so the agent can schedule an immediate wake\n77\t const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;\n78\t const next_reset_at = nextResetAt(constraintWindow);\n79\t\n80\t // All-provider snapshot (for context in the agent prompt)\n81\t const providerSnapshot = providers.map((p) => {\n82\t const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n83\t return {\n84\t name: p.name,\n85\t \"5h_remaining_pct\": p5h ? remaining(p5h) : null,\n86\t \"7d_remaining_pct\": p7d ? remaining(p7d) : null,\n87\t };\n88\t });\n89\t\n90\t const tier = quotaTier(burnable);\n91\t if (tier.tier === \"zero\") {\n92\t console.log(JSON.stringify({ wakeAgent: false, reason: \"no_burnable_quota\", next_reset_at, providerSnapshot }));\n93\t return;\n94\t }\n95\t\n96\t const sustainableGate = w7d ? sustainableGatePasses(w7d) : true;\n97\t const eligibleProjects = Object.entries(config.project_priorities)\n98\t .filter(([_, pri]) => tier.allowedPriorities.includes(pri))\n99\t .filter(([_, pri]) => pri === \"P1\" || sustainableGate)\n100\t .map(([project, priority]) => ({ project, priority }));\n101\t\n102\t if (eligibleProjects.length === 0) {\n103\t console.log(JSON.stringify({ wakeAgent: false, reason: \"no_eligible_projects\", next_reset_at, providerSnapshot }));\n104\t return;\n105\t }\n106\t\n107\t console.log(JSON.stringify({\n108\t wakeAgent: true,\n109\t data: {\n110\t burnable_pct: +burnable.toFixed(1),\n111\t tier: tier.tier,\n112\t implementationModel: tier.implementationModel,\n113\t eligibleProjects,\n114\t next_reset_at,\n115\t providerSnapshot,\n116\t claude_windows: {\n117\t \"5h\": w5h ? { remaining_pct: remaining(w5h), resets_in_sec: w5h.resets_in_sec } : null,\n118\t \"7d\": w7d ? { remaining_pct: remaining(w7d), resets_in_sec: w7d.resets_in_sec } : null,\n119\t },\n120\t },\n121\t }));\n122\t}\n123\t\n124\tmain();\n125\t"}]},"uuid":"e5697985-76dd-4618-a868-911c84627a16","timestamp":"2026-07-07T15:04:18.515Z","toolUseResult":{"type":"text","file":{"filePath":"/workspace/agent/autopilot-trigger.mjs","content":"/**\n * autopilot-trigger.mjs — scheduled trigger script for portfolio-autopilot\n *\n * Returns { wakeAgent: true, data } when burnable quota exists and eligible projects are ready.\n * Returns { wakeAgent: false, reason, next_reset_at? } otherwise.\n *\n * NOTE: CodexBar `pct` = percent USED. remaining = 100 - pct.\n */\n\nprocess.env.NO_PROXY = [process.env.NO_PROXY, \"host.docker.internal\"]\n .filter(Boolean)\n .join(\",\");\n\nimport { readFileSync } from \"fs\";\nimport { fileURLToPath } from \"url\";\nimport { dirname, join } from \"path\";\n\nconst __dirname = dirname(fileURLToPath(import.meta.url));\nconst config = JSON.parse(\n readFileSync(join(__dirname, \"autopilot-config.json\"), \"utf8\")\n);\n\nfunction remaining(w) { return 100 - (w?.pct ?? 100); }\nfunction effectiveResetsIn(w) { return (!w || w.resets_in_sec < 0) ? (w?.duration_sec ?? 0) : w.resets_in_sec; }\nfunction nextResetAt(w) { if (!w) return null; return new Date(Date.now() + effectiveResetsIn(w) * 1000).toISOString(); }\n\nfunction extractWindows(windows = []) {\n return {\n w5h: windows.find((w) => Math.abs(w.duration_sec - 18000) < 300) ?? null,\n w7d: windows.find((w) => Math.abs(w.duration_sec - 604800) < 600) ?? null,\n };\n}\n\nfunction computeBurnable(w, basePct) {\n if (!w) return 0;\n const rem = remaining(w);\n if (rem <= 0) return 0;\n const timeRatio = effectiveResetsIn(w) / w.duration_sec;\n return Math.max(0, rem - basePct * timeRatio);\n}\n\nfunction quotaTier(burnablePct) {\n if (burnablePct <= 0) return { tier: \"zero\", allowedPriorities: [], implementationModel: null };\n if (burnablePct < 5) return { tier: \"minimal\", allowedPriorities: [\"P1\"], implementationModel: \"lm-studio\" };\n if (burnablePct < 20) return { tier: \"low\", allowedPriorities: [\"P1\"], implementationModel: \"gemini-or-haiku\" };\n if (burnablePct < 50) return { tier: \"medium\", allowedPriorities: [\"P1\", \"P2\"], implementationModel: \"claude-sonnet\" };\n return { tier: \"high\", allowedPriorities: [\"P1\", \"P2\", \"P3\"], implementationModel: \"claude-sonnet\" };\n}\n\nfunction sustainableGatePasses(w) {\n if (!w) return false;\n const elapsedHours = (w.duration_sec - effectiveResetsIn(w)) / 3600;\n const expectedConsumed = (100 / (w.duration_sec / 3600)) * elapsedHours;\n return (w.pct ?? 0) < expectedConsumed; // pct = used%\n}\n\nasync function main() {\n let data;\n try {\n const res = await fetch(config.codexbar_url);\n if (!res.ok) throw new Error(`HTTP ${res.status}`);\n data = await res.json();\n } catch (err) {\n console.log(JSON.stringify({ wakeAgent: false, reason: `codexbar_unreachable: ${err.message}` }));\n return;\n }\n\n const providers = data.providers ?? [];\n const claudeProvider = providers.find((p) => /claude/i.test(p.name ?? \"\")) ?? null;\n const { w5h, w7d } = extractWindows(claudeProvider?.windows ?? []);\n\n const burnable5h = computeBurnable(w5h, config.reserve_5h_pct);\n const burnable7d = computeBurnable(w7d, config.reserve_7d_pct);\n const burnable = Math.min(burnable5h, burnable7d);\n\n // Next reset time — for the constraining window, so the agent can schedule an immediate wake\n const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;\n const next_reset_at = nextResetAt(constraintWindow);\n\n // All-provider snapshot (for context in the agent prompt)\n const providerSnapshot = providers.map((p) => {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n return {\n name: p.name,\n \"5h_remaining_pct\": p5h ? remaining(p5h) : null,\n \"7d_remaining_pct\": p7d ? remaining(p7d) : null,\n };\n });\n\n const tier = quotaTier(burnable);\n if (tier.tier === \"zero\") {\n console.log(JSON.stringify({ wakeAgent: false, reason: \"no_burnable_quota\", next_reset_at, providerSnapshot }));\n return;\n }\n\n const sustainableGate = w7d ? sustainableGatePasses(w7d) : true;\n const eligibleProjects = Object.entries(config.project_priorities)\n .filter(([_, pri]) => tier.allowedPriorities.includes(pri))\n .filter(([_, pri]) => pri === \"P1\" || sustainableGate)\n .map(([project, priority]) => ({ project, priority }));\n\n if (eligibleProjects.length === 0) {\n console.log(JSON.stringify({ wakeAgent: false, reason: \"no_eligible_projects\", next_reset_at, providerSnapshot }));\n return;\n }\n\n console.log(JSON.stringify({\n wakeAgent: true,\n data: {\n burnable_pct: +burnable.toFixed(1),\n tier: tier.tier,\n implementationModel: tier.implementationModel,\n eligibleProjects,\n next_reset_at,\n providerSnapshot,\n claude_windows: {\n \"5h\": w5h ? { remaining_pct: remaining(w5h), resets_in_sec: w5h.resets_in_sec } : null,\n \"7d\": w7d ? { remaining_pct: remaining(w7d), resets_in_sec: w7d.resets_in_sec } : null,\n },\n },\n }));\n}\n\nmain();\n","numLines":125,"startLine":1,"totalLines":125}},"sourceToolAssistantUUID":"1681adfe-a529-4fef-be88-58521740d18e","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"e5697985-76dd-4618-a868-911c84627a16","isSidechain":false,"attachment":{"type":"todo_reminder","content":[{"content":"Create portfolio board infrastructure (BOARD.md, PLAN.md, project cards)","status":"completed","activeForm":"Creating portfolio board infrastructure"},{"content":"Fix Gemini availability in autopilot.mjs (nanoclaw P1)","status":"in_progress","activeForm":"Fixing Gemini availability in autopilot"},{"content":"Update project card and BOARD.md, log run, schedule next reset-wake","status":"pending","activeForm":"Updating board, logging run, scheduling next wake"}],"itemCount":3},"type":"attachment","uuid":"46447b1b-b078-4f78-9664-894b4a3fd612","timestamp":"2026-07-07T15:04:18.529Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"46447b1b-b078-4f78-9664-894b4a3fd612","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuH2yCgYAaMFa5Y1AK4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MK5zktN6QcQbGXiRcPEEaZ","name":"Edit","input":{"replace_all":false,"file_path":"/workspace/agent/autopilot-trigger.mjs","old_string":" // All-provider snapshot (for context in the agent prompt)\n const providerSnapshot = providers.map((p) => {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n return {\n name: p.name,\n \"5h_remaining_pct\": p5h ? remaining(p5h) : null,\n \"7d_remaining_pct\": p7d ? remaining(p7d) : null,\n };\n });","new_string":" // All-provider snapshot (for context in the agent prompt)\n const trackedSnapshot = providers.map((p) => {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n return {\n name: p.name,\n tracked: true,\n \"5h_remaining_pct\": p5h ? remaining(p5h) : null,\n \"7d_remaining_pct\": p7d ? remaining(p7d) : null,\n };\n });\n const untrackedSnapshot = (config.untracked_providers ?? []).map((p) => ({\n name: p.name,\n tracked: false,\n note: p.note,\n }));\n const providerSnapshot = [...trackedSnapshot, ...untrackedSnapshot];"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2270,"cache_read_input_tokens":66839,"output_tokens":447,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2270},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":447,"cache_read_input_tokens":66839,"cache_creation_input_tokens":2270,"cache_creation":{"ephemeral_5m_input_tokens":2270,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuH2G36PwGAHzhk1ZU4","type":"assistant","uuid":"c158314b-5ceb-47c4-8b3d-5fe872065ba1","timestamp":"2026-07-07T15:04:24.069Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"c158314b-5ceb-47c4-8b3d-5fe872065ba1","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MK5zktN6QcQbGXiRcPEEaZ","type":"tool_result","content":"The file /workspace/agent/autopilot-trigger.mjs has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"7e4ac4b8-0c6c-4da6-b852-5009566f7014","timestamp":"2026-07-07T15:04:24.079Z","toolUseResult":{"filePath":"/workspace/agent/autopilot-trigger.mjs","oldString":" // All-provider snapshot (for context in the agent prompt)\n const providerSnapshot = providers.map((p) => {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n return {\n name: p.name,\n \"5h_remaining_pct\": p5h ? remaining(p5h) : null,\n \"7d_remaining_pct\": p7d ? remaining(p7d) : null,\n };\n });","newString":" // All-provider snapshot (for context in the agent prompt)\n const trackedSnapshot = providers.map((p) => {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n return {\n name: p.name,\n tracked: true,\n \"5h_remaining_pct\": p5h ? remaining(p5h) : null,\n \"7d_remaining_pct\": p7d ? remaining(p7d) : null,\n };\n });\n const untrackedSnapshot = (config.untracked_providers ?? []).map((p) => ({\n name: p.name,\n tracked: false,\n note: p.note,\n }));\n const providerSnapshot = [...trackedSnapshot, ...untrackedSnapshot];","originalFile":"/**\n * autopilot-trigger.mjs — scheduled trigger script for portfolio-autopilot\n *\n * Returns { wakeAgent: true, data } when burnable quota exists and eligible projects are ready.\n * Returns { wakeAgent: false, reason, next_reset_at? } otherwise.\n *\n * NOTE: CodexBar `pct` = percent USED. remaining = 100 - pct.\n */\n\nprocess.env.NO_PROXY = [process.env.NO_PROXY, \"host.docker.internal\"]\n .filter(Boolean)\n .join(\",\");\n\nimport { readFileSync } from \"fs\";\nimport { fileURLToPath } from \"url\";\nimport { dirname, join } from \"path\";\n\nconst __dirname = dirname(fileURLToPath(import.meta.url));\nconst config = JSON.parse(\n readFileSync(join(__dirname, \"autopilot-config.json\"), \"utf8\")\n);\n\nfunction remaining(w) { return 100 - (w?.pct ?? 100); }\nfunction effectiveResetsIn(w) { return (!w || w.resets_in_sec < 0) ? (w?.duration_sec ?? 0) : w.resets_in_sec; }\nfunction nextResetAt(w) { if (!w) return null; return new Date(Date.now() + effectiveResetsIn(w) * 1000).toISOString(); }\n\nfunction extractWindows(windows = []) {\n return {\n w5h: windows.find((w) => Math.abs(w.duration_sec - 18000) < 300) ?? null,\n w7d: windows.find((w) => Math.abs(w.duration_sec - 604800) < 600) ?? null,\n };\n}\n\nfunction computeBurnable(w, basePct) {\n if (!w) return 0;\n const rem = remaining(w);\n if (rem <= 0) return 0;\n const timeRatio = effectiveResetsIn(w) / w.duration_sec;\n return Math.max(0, rem - basePct * timeRatio);\n}\n\nfunction quotaTier(burnablePct) {\n if (burnablePct <= 0) return { tier: \"zero\", allowedPriorities: [], implementationModel: null };\n if (burnablePct < 5) return { tier: \"minimal\", allowedPriorities: [\"P1\"], implementationModel: \"lm-studio\" };\n if (burnablePct < 20) return { tier: \"low\", allowedPriorities: [\"P1\"], implementationModel: \"gemini-or-haiku\" };\n if (burnablePct < 50) return { tier: \"medium\", allowedPriorities: [\"P1\", \"P2\"], implementationModel: \"claude-sonnet\" };\n return { tier: \"high\", allowedPriorities: [\"P1\", \"P2\", \"P3\"], implementationModel: \"claude-sonnet\" };\n}\n\nfunction sustainableGatePasses(w) {\n if (!w) return false;\n const elapsedHours = (w.duration_sec - effectiveResetsIn(w)) / 3600;\n const expectedConsumed = (100 / (w.duration_sec / 3600)) * elapsedHours;\n return (w.pct ?? 0) < expectedConsumed; // pct = used%\n}\n\nasync function main() {\n let data;\n try {\n const res = await fetch(config.codexbar_url);\n if (!res.ok) throw new Error(`HTTP ${res.status}`);\n data = await res.json();\n } catch (err) {\n console.log(JSON.stringify({ wakeAgent: false, reason: `codexbar_unreachable: ${err.message}` }));\n return;\n }\n\n const providers = data.providers ?? [];\n const claudeProvider = providers.find((p) => /claude/i.test(p.name ?? \"\")) ?? null;\n const { w5h, w7d } = extractWindows(claudeProvider?.windows ?? []);\n\n const burnable5h = computeBurnable(w5h, config.reserve_5h_pct);\n const burnable7d = computeBurnable(w7d, config.reserve_7d_pct);\n const burnable = Math.min(burnable5h, burnable7d);\n\n // Next reset time — for the constraining window, so the agent can schedule an immediate wake\n const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;\n const next_reset_at = nextResetAt(constraintWindow);\n\n // All-provider snapshot (for context in the agent prompt)\n const providerSnapshot = providers.map((p) => {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n return {\n name: p.name,\n \"5h_remaining_pct\": p5h ? remaining(p5h) : null,\n \"7d_remaining_pct\": p7d ? remaining(p7d) : null,\n };\n });\n\n const tier = quotaTier(burnable);\n if (tier.tier === \"zero\") {\n console.log(JSON.stringify({ wakeAgent: false, reason: \"no_burnable_quota\", next_reset_at, providerSnapshot }));\n return;\n }\n\n const sustainableGate = w7d ? sustainableGatePasses(w7d) : true;\n const eligibleProjects = Object.entries(config.project_priorities)\n .filter(([_, pri]) => tier.allowedPriorities.includes(pri))\n .filter(([_, pri]) => pri === \"P1\" || sustainableGate)\n .map(([project, priority]) => ({ project, priority }));\n\n if (eligibleProjects.length === 0) {\n console.log(JSON.stringify({ wakeAgent: false, reason: \"no_eligible_projects\", next_reset_at, providerSnapshot }));\n return;\n }\n\n console.log(JSON.stringify({\n wakeAgent: true,\n data: {\n burnable_pct: +burnable.toFixed(1),\n tier: tier.tier,\n implementationModel: tier.implementationModel,\n eligibleProjects,\n next_reset_at,\n providerSnapshot,\n claude_windows: {\n \"5h\": w5h ? { remaining_pct: remaining(w5h), resets_in_sec: w5h.resets_in_sec } : null,\n \"7d\": w7d ? { remaining_pct: remaining(w7d), resets_in_sec: w7d.resets_in_sec } : null,\n },\n },\n }));\n}\n\nmain();\n","structuredPatch":[{"oldStart":78,"oldLines":14,"newStart":78,"newLines":21,"lines":[" const next_reset_at = nextResetAt(constraintWindow);"," "," // All-provider snapshot (for context in the agent prompt)","- const providerSnapshot = providers.map((p) => {","+ const trackedSnapshot = providers.map((p) => {"," const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);"," return {"," name: p.name,","+ tracked: true,"," \"5h_remaining_pct\": p5h ? remaining(p5h) : null,"," \"7d_remaining_pct\": p7d ? remaining(p7d) : null,"," };"," });","+ const untrackedSnapshot = (config.untracked_providers ?? []).map((p) => ({","+ name: p.name,","+ tracked: false,","+ note: p.note,","+ }));","+ const providerSnapshot = [...trackedSnapshot, ...untrackedSnapshot];"," "," const tier = quotaTier(burnable);"," if (tier.tier === \"zero\") {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c158314b-5ceb-47c4-8b3d-5fe872065ba1","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"parentUuid":"da2cce7f-4cf9-442c-8c7a-f4eeb511c385","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuHSpQGkyuQXQpRjMdC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01W8t6pMcBmDeDMS73zhUcQ7","name":"Bash","input":{"command":"node /workspace/agent/autopilot.mjs 2>&1","description":"Test updated autopilot with Gemini in output"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":494,"cache_read_input_tokens":69109,"output_tokens":103,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":494},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":103,"cache_read_input_tokens":69109,"cache_creation_input_tokens":494,"cache_creation":{"ephemeral_5m_input_tokens":494,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuHRwZoFHPgW3QaVYDc","type":"assistant","uuid":"030f1ac3-dd57-4194-b399-346c58315b40","timestamp":"2026-07-07T15:04:26.517Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"030f1ac3-dd57-4194-b399-346c58315b40","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01W8t6pMcBmDeDMS73zhUcQ7","type":"tool_result","content":"(node:501) [UNDICI-EHPA] Warning: EnvHttpProxyAgent is experimental, expect them to change at any time.\n(Use `node --trace-warnings ...` to show where the warning was created)\n\n=== Portfolio Autopilot — 2026-07-07T15:04:27.647Z ===\n\nClaude 5h: 100% remaining (resets in 286m) 7d: 87% remaining (resets in 102h)\nCodex 5h: 100% remaining (resets in 300m) 7d: 72% remaining (resets in 145h)\nGemini (untracked — always available)\nLM Studio (untracked — always available)\n\nClaude burnable — 5h: 76.2% 7d: 77.9% effective: 76.2%\nQuota tier: HIGH — P1+P2+P3 — Claude Sonnet\nNext reset: 2026-07-07T19:49:59.647Z\n\nEligible projects:\n ✓ StageHand (P1) — model: claude-sonnet\n ✓ nanoclaw (P1) — model: claude-sonnet\n ✓ AgenticLever (P2) — model: claude-sonnet\n ✓ RoadSense (P2) — model: claude-sonnet\n ✓ qip-qien (P2) — model: claude-sonnet\n ✓ congressional-trading (P3) — model: claude-sonnet\n ✓ TradingBot25 (P3) — model: claude-sonnet","is_error":false}]},"uuid":"8269601c-26b5-431b-8068-c683adad10b2","timestamp":"2026-07-07T15:04:27.662Z","toolUseResult":{"stdout":"(node:501) [UNDICI-EHPA] Warning: EnvHttpProxyAgent is experimental, expect them to change at any time.\n(Use `node --trace-warnings ...` to show where the warning was created)\n\n=== Portfolio Autopilot — 2026-07-07T15:04:27.647Z ===\n\nClaude 5h: 100% remaining (resets in 286m) 7d: 87% remaining (resets in 102h)\nCodex 5h: 100% remaining (resets in 300m) 7d: 72% remaining (resets in 145h)\nGemini (untracked — always available)\nLM Studio (untracked — always available)\n\nClaude burnable — 5h: 76.2% 7d: 77.9% effective: 76.2%\nQuota tier: HIGH — P1+P2+P3 — Claude Sonnet\nNext reset: 2026-07-07T19:49:59.647Z\n\nEligible projects:\n ✓ StageHand (P1) — model: claude-sonnet\n ✓ nanoclaw (P1) — model: claude-sonnet\n ✓ AgenticLever (P2) — model: claude-sonnet\n ✓ RoadSense (P2) — model: claude-sonnet\n ✓ qip-qien (P2) — model: claude-sonnet\n ✓ congressional-trading (P3) — model: claude-sonnet\n ✓ TradingBot25 (P3) — model: claude-sonnet","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"030f1ac3-dd57-4194-b399-346c58315b40","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"8269601c-26b5-431b-8068-c683adad10b2","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuHho4JWhaRnySoaX1t","type":"message","role":"assistant","content":[{"type":"text","text":"Gemini and LM Studio now show in the output. Now update the board, log the run, and schedule the next reset-wake:"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":514,"cache_read_input_tokens":69603,"output_tokens":215,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":514},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":215,"cache_read_input_tokens":69603,"cache_creation_input_tokens":514,"cache_creation":{"ephemeral_5m_input_tokens":514,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuHhE5fJ8vdaDSUz3UW","type":"assistant","uuid":"a1e44e66-f44c-4c25-8d81-f1ce0a5d5718","timestamp":"2026-07-07T15:04:29.879Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"a1e44e66-f44c-4c25-8d81-f1ce0a5d5718","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuHho4JWhaRnySoaX1t","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Uk7VFjZViNmMcooyeYZMMy","name":"TodoWrite","input":{"todos":[{"content":"Create portfolio board infrastructure (BOARD.md, PLAN.md, project cards)","activeForm":"Creating portfolio board infrastructure","status":"completed"},{"content":"Fix Gemini availability in autopilot.mjs (nanoclaw P1)","activeForm":"Fixing Gemini availability in autopilot","status":"completed"},{"content":"Update project card and BOARD.md, log run, schedule next reset-wake","activeForm":"Updating board, logging run, scheduling next wake","status":"in_progress"}]},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":514,"cache_read_input_tokens":69603,"output_tokens":215,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":514},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":215,"cache_read_input_tokens":69603,"cache_creation_input_tokens":514,"cache_creation":{"ephemeral_5m_input_tokens":514,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuHhE5fJ8vdaDSUz3UW","type":"assistant","uuid":"b279971d-0dfa-45ce-a33c-2b7e5126e9ed","timestamp":"2026-07-07T15:04:31.127Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"b279971d-0dfa-45ce-a33c-2b7e5126e9ed","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Uk7VFjZViNmMcooyeYZMMy","type":"tool_result","content":"Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable"}]},"uuid":"d38fbf42-2d88-4062-b0b0-8b2a9c2377d7","timestamp":"2026-07-07T15:04:31.136Z","toolUseResult":{"oldTodos":[{"content":"Create portfolio board infrastructure (BOARD.md, PLAN.md, project cards)","status":"completed","activeForm":"Creating portfolio board infrastructure"},{"content":"Fix Gemini availability in autopilot.mjs (nanoclaw P1)","status":"in_progress","activeForm":"Fixing Gemini availability in autopilot"},{"content":"Update project card and BOARD.md, log run, schedule next reset-wake","status":"pending","activeForm":"Updating board, logging run, scheduling next wake"}],"newTodos":[{"content":"Create portfolio board infrastructure (BOARD.md, PLAN.md, project cards)","status":"completed","activeForm":"Creating portfolio board infrastructure"},{"content":"Fix Gemini availability in autopilot.mjs (nanoclaw P1)","status":"completed","activeForm":"Fixing Gemini availability in autopilot"},{"content":"Update project card and BOARD.md, log run, schedule next reset-wake","status":"in_progress","activeForm":"Updating board, logging run, scheduling next wake"}],"verificationNudgeNeeded":false},"sourceToolAssistantUUID":"b279971d-0dfa-45ce-a33c-2b7e5126e9ed","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"type":"ai-title","aiTitle":"Check project status and verify fixes","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"d38fbf42-2d88-4062-b0b0-8b2a9c2377d7","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuHy8Yb4ZmWkLh1q2cG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RqkT1g7hcrkuzhuAFMJPv3","name":"Edit","input":{"replace_all":false,"file_path":"/workspace/extra/second-brain/portfolio/projects/nanoclaw.md","old_string":"## Next action\n\nFix Gemini provider in autopilot routing (add as always-available synthetic provider since CodexBar doesn't track it).","new_string":"## Next action\n\nDesign and implement planning-tier + human-checkpoint layer: smart model for planning phase, auto red-team critique, hold for James's sign-off before implementation starts on Greenfield work."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":257,"cache_read_input_tokens":70117,"output_tokens":180,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":257},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":180,"cache_read_input_tokens":70117,"cache_creation_input_tokens":257,"cache_creation":{"ephemeral_5m_input_tokens":257,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuHx5JFXGTEj1iYgxCm","type":"assistant","uuid":"23c38058-1dc2-428c-b24b-84d3445da74e","timestamp":"2026-07-07T15:04:35.806Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"23c38058-1dc2-428c-b24b-84d3445da74e","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RqkT1g7hcrkuzhuAFMJPv3","type":"tool_result","content":"The file /workspace/extra/second-brain/portfolio/projects/nanoclaw.md has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"07a84948-feb6-478a-b7cf-5f10f38fda32","timestamp":"2026-07-07T15:04:35.814Z","toolUseResult":{"filePath":"/workspace/extra/second-brain/portfolio/projects/nanoclaw.md","oldString":"## Next action\n\nFix Gemini provider in autopilot routing (add as always-available synthetic provider since CodexBar doesn't track it).","newString":"## Next action\n\nDesign and implement planning-tier + human-checkpoint layer: smart model for planning phase, auto red-team critique, hold for James's sign-off before implementation starts on Greenfield work.","originalFile":"# nanoclaw\n\n**Priority:** P1 \n**Stage:** build \n**Guard:** autonomous-ok \n**Goal:** Build the factory infrastructure — quota-aware autopilot, routing logic, planning-tier design — so all other projects can accelerate on top of it.\n\n## Next action\n\nFix Gemini provider in autopilot routing (add as always-available synthetic provider since CodexBar doesn't track it).\n\n## Backlog\n\n- Planning-tier design: smart model for planning, auto red-team, human checkpoint before implementation starts\n- Closed-loop quota tuning: track quota spent vs output, drift thresholds toward right values over time\n- Gemini quota tracking (no CodexBar support — monitor manually or via Gemini API if available)\n\n## Notes\n\n- 2026-07-07: Autopilot routing logic built (autopilot.mjs, autopilot-trigger.mjs, autopilot-config.json). CodexBar integration working. Adaptive reserve formula implemented.\n- 2026-07-07: Priority order confirmed by James: P1=nanoclaw/StageHand, P2=AgenticLever/RoadSense/qip-qien, P3=congressional-trading/TradingBot25\n- 2026-07-07: Reddit ingestion dropped — Reddit restricted OAuth app creation, content signal too low.\n- 2026-07-07: Portfolio board created (seeded from conversation history) — this was missing from second-brain.\n","structuredPatch":[{"oldStart":7,"oldLines":7,"newStart":7,"newLines":7,"lines":[" "," ## Next action"," ","-Fix Gemini provider in autopilot routing (add as always-available synthetic provider since CodexBar doesn't track it).","+Design and implement planning-tier + human-checkpoint layer: smart model for planning phase, auto red-team critique, hold for James's sign-off before implementation starts on Greenfield work."," "," ## Backlog"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"23c38058-1dc2-428c-b24b-84d3445da74e","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"07a84948-feb6-478a-b7cf-5f10f38fda32","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuJJtSBdVdUcmF7J9P2","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D6Pcw3BjjMykTqnqSEdsM6","name":"Edit","input":{"replace_all":false,"file_path":"/workspace/extra/second-brain/portfolio/projects/nanoclaw.md","old_string":"- 2026-07-07: Portfolio board created (seeded from conversation history) — this was missing from second-brain.","new_string":"- 2026-07-07: Portfolio board created (seeded from conversation history) — this was missing from second-brain.\n- 2026-07-07: Fixed Gemini + LM Studio in autopilot output — added as untracked_providers in config. Both now appear in routing summary as always-available. Gemini confirmed as $20/mo subscription."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":251,"cache_read_input_tokens":70374,"output_tokens":235,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":251},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":235,"cache_read_input_tokens":70374,"cache_creation_input_tokens":251,"cache_creation":{"ephemeral_5m_input_tokens":251,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuJJ9YED6diBBFpEYxL","type":"assistant","uuid":"fe28ff14-d17f-447a-a7ff-887bc3912dbf","timestamp":"2026-07-07T15:04:40.125Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"fe28ff14-d17f-447a-a7ff-887bc3912dbf","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D6Pcw3BjjMykTqnqSEdsM6","type":"tool_result","content":"The file /workspace/extra/second-brain/portfolio/projects/nanoclaw.md has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"b45d6b7e-0d6c-4a4d-92f7-ad55b3a62cb3","timestamp":"2026-07-07T15:04:40.144Z","toolUseResult":{"filePath":"/workspace/extra/second-brain/portfolio/projects/nanoclaw.md","oldString":"- 2026-07-07: Portfolio board created (seeded from conversation history) — this was missing from second-brain.","newString":"- 2026-07-07: Portfolio board created (seeded from conversation history) — this was missing from second-brain.\n- 2026-07-07: Fixed Gemini + LM Studio in autopilot output — added as untracked_providers in config. Both now appear in routing summary as always-available. Gemini confirmed as $20/mo subscription.","originalFile":"# nanoclaw\n\n**Priority:** P1 \n**Stage:** build \n**Guard:** autonomous-ok \n**Goal:** Build the factory infrastructure — quota-aware autopilot, routing logic, planning-tier design — so all other projects can accelerate on top of it.\n\n## Next action\n\nDesign and implement planning-tier + human-checkpoint layer: smart model for planning phase, auto red-team critique, hold for James's sign-off before implementation starts on Greenfield work.\n\n## Backlog\n\n- Planning-tier design: smart model for planning, auto red-team, human checkpoint before implementation starts\n- Closed-loop quota tuning: track quota spent vs output, drift thresholds toward right values over time\n- Gemini quota tracking (no CodexBar support — monitor manually or via Gemini API if available)\n\n## Notes\n\n- 2026-07-07: Autopilot routing logic built (autopilot.mjs, autopilot-trigger.mjs, autopilot-config.json). CodexBar integration working. Adaptive reserve formula implemented.\n- 2026-07-07: Priority order confirmed by James: P1=nanoclaw/StageHand, P2=AgenticLever/RoadSense/qip-qien, P3=congressional-trading/TradingBot25\n- 2026-07-07: Reddit ingestion dropped — Reddit restricted OAuth app creation, content signal too low.\n- 2026-07-07: Portfolio board created (seeded from conversation history) — this was missing from second-brain.\n","structuredPatch":[{"oldStart":21,"oldLines":3,"newStart":21,"newLines":4,"lines":[" - 2026-07-07: Priority order confirmed by James: P1=nanoclaw/StageHand, P2=AgenticLever/RoadSense/qip-qien, P3=congressional-trading/TradingBot25"," - 2026-07-07: Reddit ingestion dropped — Reddit restricted OAuth app creation, content signal too low."," - 2026-07-07: Portfolio board created (seeded from conversation history) — this was missing from second-brain.","+- 2026-07-07: Fixed Gemini + LM Studio in autopilot output — added as untracked_providers in config. Both now appear in routing summary as always-available. Gemini confirmed as $20/mo subscription."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"fe28ff14-d17f-447a-a7ff-887bc3912dbf","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"parentUuid":"13611412-3d60-423a-b147-efd8a1f625f8","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BgDBpbeedG94qeYn5Mkpx5","type":"tool_result","content":"The file /workspace/extra/second-brain/portfolio/BOARD.md has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"fe0fccf6-25f0-44cf-8f43-d04092e27450","timestamp":"2026-07-07T15:04:44.907Z","toolUseResult":{"filePath":"/workspace/extra/second-brain/portfolio/BOARD.md","oldString":"| nanoclaw | P1 | build | autonomous-ok | Fix Gemini provider in autopilot routing | 2026-07-07 |","newString":"| nanoclaw | P1 | build | autonomous-ok | Design planning-tier + human-checkpoint layer for autopilot | 2026-07-07 |","originalFile":"# Portfolio Board\n\n_Last updated: 2026-07-07_\n\n## Projects\n\n| Project | Priority | Stage | Guard | Next action | Last activity |\n|---------|----------|-------|-------|-------------|---------------|\n| nanoclaw | P1 | build | autonomous-ok | Fix Gemini provider in autopilot routing | 2026-07-07 |\n| StageHand | P1 | discovery | autonomous-ok | Confirm with James: goal and scope for real estate video suite | 2026-07-07 |\n| AgenticLever | P2 | maintain | autonomous-ok | Confirm with James: current goal and next milestone | 2026-07-07 |\n| RoadSense | P2 | test | autonomous-ok | Investigate and fix thorny UI issue | 2026-07-06 |\n| qip-qien | P2 | feedback | review-required | Confirm with James: active trial status and what's blocking | 2026-07-07 |\n| congressional-trading | P3 | build | autonomous-ok | Review uncommitted changes and commit/clean up | 2026-07-06 |\n| TradingBot25 | P3 | build | review-required | Confirm with James: current goal and active work | 2026-07-07 |\n\n## Decision queue\n\n1. **StageHand goal** — What is the target outcome for StageHand? (Real estate video automation suite, or something narrower based on HyperFrames experiment?)\n2. **AgenticLever milestone** — What's the current priority for AgenticLever-website?\n3. **qip-qien trial status** — Is the live trial with Ramón active? What's blocking next iteration?\n\n## Notes\n\n- Reddit ingestion dropped: OAuth app creation now requires manual approval from Reddit, content signal too low to pursue. (2026-07-07)\n- Portfolio board seeded from conversation history on 2026-07-07. Cards marked \"Confirm with James\" should be resolved via daily brief.\n- Gemini ($20/mo subscription) is not tracked by CodexBar — treated as always-available in routing. (2026-07-07)\n","structuredPatch":[{"oldStart":6,"oldLines":7,"newStart":6,"newLines":7,"lines":[" "," | Project | Priority | Stage | Guard | Next action | Last activity |"," |---------|----------|-------|-------|-------------|---------------|","-| nanoclaw | P1 | build | autonomous-ok | Fix Gemini provider in autopilot routing | 2026-07-07 |","+| nanoclaw | P1 | build | autonomous-ok | Design planning-tier + human-checkpoint layer for autopilot | 2026-07-07 |"," | StageHand | P1 | discovery | autonomous-ok | Confirm with James: goal and scope for real estate video suite | 2026-07-07 |"," | AgenticLever | P2 | maintain | autonomous-ok | Confirm with James: current goal and next milestone | 2026-07-07 |"," | RoadSense | P2 | test | autonomous-ok | Investigate and fix thorny UI issue | 2026-07-06 |"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"13611412-3d60-423a-b147-efd8a1f625f8","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"fe0fccf6-25f0-44cf-8f43-d04092e27450","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuJyqEqtQFYvMUbGvmh","type":"message","role":"assistant","content":[{"type":"text","text":"Now log the run:"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":244,"cache_read_input_tokens":70912,"output_tokens":245,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":244},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":245,"cache_read_input_tokens":70912,"cache_creation_input_tokens":244,"cache_creation":{"ephemeral_5m_input_tokens":244,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuJy3N67xu3qTdGczwN","type":"assistant","uuid":"6733165c-77a3-40e9-9e43-347b927f96f2","timestamp":"2026-07-07T15:04:46.738Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"parentUuid":"f819283c-a96f-47f3-a00b-2c0cd01049c8","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuKUYeBJ5J99nueqM6p","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Now I'll schedule the next reset-wake for when the 5h window resets. From the trigger data, `next_reset_at` is `\"2026-07-07T19:50:00.248Z\"`. Let me convert that to a naive local timestamp (America/Chicago = UTC-5 in July, so 19:50 UTC = 14:50 CT).\n\nActually, the instruction says: \"Schedule the next reset-wake: After completing work, call schedule_task with processAfter: the next_reset_at value from the trigger data (the exact window reset time)\"\n\nThe next_reset_at from the trigger was: `2026-07-07T19:50:00.248Z`\nConverting to America/Chicago time gives me `2026-07-07T14:50:00` local, which is what I'll use for the naive timestamp.","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":419,"cache_read_input_tokens":71414,"output_tokens":421,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":419},"inference_geo":"","iterations":[{"input_tokens":3,"output_tokens":421,"cache_read_input_tokens":71414,"cache_creation_input_tokens":419,"cache_creation":{"ephemeral_5m_input_tokens":419,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuKTvBsky2YdvjCo6ZN","type":"assistant","uuid":"a1c27f59-491b-49a8-bd22-758fbfa89e04","timestamp":"2026-07-07T15:04:59.614Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"a1c27f59-491b-49a8-bd22-758fbfa89e04","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuKUYeBJ5J99nueqM6p","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018ua44N1bFEFrCsWV1QK4at","name":"mcp__nanoclaw__schedule_task","input":{"processAfter":"2026-07-07T14:50:00","prompt":"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.","script":"node /workspace/agent/autopilot-trigger.mjs 2>/dev/null"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":419,"cache_read_input_tokens":71414,"output_tokens":421,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":419},"inference_geo":"","iterations":[{"input_tokens":3,"output_tokens":421,"cache_read_input_tokens":71414,"cache_creation_input_tokens":419,"cache_creation":{"ephemeral_5m_input_tokens":419,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuKTvBsky2YdvjCo6ZN","type":"assistant","uuid":"07c72ae7-5b57-4b84-b646-b4df67bf41b7","timestamp":"2026-07-07T15:05:00.651Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"07c72ae7-5b57-4b84-b646-b4df67bf41b7","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018ua44N1bFEFrCsWV1QK4at","type":"tool_result","content":[{"type":"text","text":"Task scheduled (id: task-1783436700666-rj6wvt, runs at: 2026-07-07T19:50:00.000Z)"}]}]},"uuid":"3ca4baa4-0a37-4cf7-8a6b-c42927ffb35d","timestamp":"2026-07-07T15:05:00.681Z","toolUseResult":[{"type":"text","text":"Task scheduled (id: task-1783436700666-rj6wvt, runs at: 2026-07-07T19:50:00.000Z)"}],"sourceToolAssistantUUID":"07c72ae7-5b57-4b84-b646-b4df67bf41b7","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"3ca4baa4-0a37-4cf7-8a6b-c42927ffb35d","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuL9d8Zt5Z3F36zBFmK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Rwa2XgVyZkXyp81SrzS9Gb","name":"TodoWrite","input":{"todos":[{"content":"Create portfolio board infrastructure (BOARD.md, PLAN.md, project cards)","activeForm":"Creating portfolio board infrastructure","status":"completed"},{"content":"Fix Gemini availability in autopilot.mjs (nanoclaw P1)","activeForm":"Fixing Gemini availability in autopilot","status":"completed"},{"content":"Update project card and BOARD.md, log run, schedule next reset-wake","activeForm":"Updating board, logging run, scheduling next wake","status":"completed"}]},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":474,"cache_read_input_tokens":71833,"output_tokens":182,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":474},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":182,"cache_read_input_tokens":71833,"cache_creation_input_tokens":474,"cache_creation":{"ephemeral_5m_input_tokens":474,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuL8XtqJXd2KMtre1jR","type":"assistant","uuid":"919dba2a-91b5-463d-a477-716d54b02192","timestamp":"2026-07-07T15:05:04.005Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"919dba2a-91b5-463d-a477-716d54b02192","isSidechain":false,"promptId":"f380f75c-9c32-4484-9fed-9fc8c4483ce1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Rwa2XgVyZkXyp81SrzS9Gb","type":"tool_result","content":"Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable"}]},"uuid":"b30cc811-16b4-432d-a858-88bdfa0b9e73","timestamp":"2026-07-07T15:05:04.011Z","toolUseResult":{"oldTodos":[{"content":"Create portfolio board infrastructure (BOARD.md, PLAN.md, project cards)","status":"completed","activeForm":"Creating portfolio board infrastructure"},{"content":"Fix Gemini availability in autopilot.mjs (nanoclaw P1)","status":"completed","activeForm":"Fixing Gemini availability in autopilot"},{"content":"Update project card and BOARD.md, log run, schedule next reset-wake","status":"in_progress","activeForm":"Updating board, logging run, scheduling next wake"}],"newTodos":[{"content":"Create portfolio board infrastructure (BOARD.md, PLAN.md, project cards)","status":"completed","activeForm":"Creating portfolio board infrastructure"},{"content":"Fix Gemini availability in autopilot.mjs (nanoclaw P1)","status":"completed","activeForm":"Fixing Gemini availability in autopilot"},{"content":"Update project card and BOARD.md, log run, schedule next reset-wake","status":"completed","activeForm":"Updating board, logging run, scheduling next wake"}],"verificationNudgeNeeded":false},"sourceToolAssistantUUID":"919dba2a-91b5-463d-a477-716d54b02192","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"b30cc811-16b4-432d-a858-88bdfa0b9e73","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuLPESAREVPZDAu4ip4","type":"message","role":"assistant","content":[{"type":"text","text":"Now addressing James's messages:\n\nAutopilot cycle done. Two things completed this run:\n\n**1. Portfolio board created** — BOARD.md, PLAN.md, and all 7 project cards now exist in second-brain. They were referenced in the autopilot prompt but had never been written to disk. Fixed.\n\n**2. Gemini + LM Studio fixed** — Both now appear in the routing output as untracked (always-available). Since your Gemini is a $20/mo subscription (not pay-per-use), CodexBar can't track its quota windows. Treated the same as LM Studio — present in the output, usable for routing, just no quota meter. If you ever want to manually report Gemini quota (like you just did for Codex), I can factor it in.\n\n```\nClaude 5h: 100% 7d: 87%\nCodex 5h: 100% 7d: 72%\nGemini (untracked — always available)\nLM Studio (untracked — always available)\n```\n\nNext reset-wake scheduled for 2:50 PM CT. Next cycle will tackle the planning-tier + human-checkpoint design."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":224,"cache_read_input_tokens":72307,"output_tokens":291,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":224},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":291,"cache_read_input_tokens":72307,"cache_creation_input_tokens":224,"cache_creation":{"ephemeral_5m_input_tokens":224,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuLNdyCt8LoH7foxmDE","type":"assistant","uuid":"f9c9eba0-ec3e-406d-ab60-e9218f62d1b7","timestamp":"2026-07-07T15:05:11.541Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"last-prompt","leafUuid":"f9c9eba0-ec3e-406d-ab60-e9218f62d1b7","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"type":"ai-title","aiTitle":"Check project status and verify fixes","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T15:08:37.525Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\n1. we have access to Fable on the $20/mo plan for at most the next 14 hours. I don't want to wait for the last minute. What are the possible hard tasks, plans, that I should have it work on out of band from your scheduling across any of our projects? Please provide a prioritized list."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T15:08:37.526Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"f9c9eba0-ec3e-406d-ab60-e9218f62d1b7","isSidechain":false,"promptId":"532f255e-de7b-4516-ab9d-5c1d89eaaca0","type":"user","message":{"role":"user","content":"\n1. we have access to Fable on the $20/mo plan for at most the next 14 hours. I don't want to wait for the last minute. What are the possible hard tasks, plans, that I should have it work on out of band from your scheduling across any of our projects? Please provide a prioritized list."},"uuid":"daa61bcd-e932-4ef8-8581-4d963ce22a34","timestamp":"2026-07-07T15:08:37.530Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"daa61bcd-e932-4ef8-8581-4d963ce22a34","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnucEeCdDKVqDUmfC4ay","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"James is asking about what tasks could be done with Fable (likely Fable's AI coding agent) in the next 14 hours before their access expires. I need to look across all the projects and identify the best candidates for Fable to work on — things that are hard, well-defined enough to delegate to an AI coding agent, and would benefit from a frontier model's capabilities.\n\nLet me think about what I know about each project and what tasks would be good for Fable:\n\n1. **nanoclaw (P1)** — Current work: planning-tier + human-checkpoint layer design. This is infrastructure/system design. Good for Fable if there's a clear spec.\n2. **StageHand (P1)** — Still in discovery with no clear goal yet, so not ideal for delegation.\n3. **AgenticLever (P2)** — In maintenance mode without a defined direction, making it hard to scope work for Fable.\n4. **RoadSense (P2)** — Has a concrete UI issue to tackle and a local repo ready to go — this looks like a solid candidate.\n5. **qip-qien (P2)** — In feedback stage with review requirements and a backlog of findings from Fable's previous model review.\n6. **congressional-trading (P3)** — Build stage with uncommitted changes that could use cleanup.\n7. **TradingBot25 (P3)** — Build stage needing review, though it's a private repo.\n\nThinking about what Fable excels at: it's an AI coding agent that handles feature implementation, bug fixes, tests, and refactoring well when given clear requirements and accessible repos. It struggles more with open-ended design work or tasks needing real-time data. With 14 hours available, I should focus on projects with well-scoped problems.\n\nSince the projects directory isn't actually mounted in my workspace, I can't directly examine the BACKLOG.md files or repo states. I'll need to rely on what I know from the repo-awareness data and previous conversations. The best Fable tasks are those with clear boundaries, existing code to build on, and no dependency on human intervention mid-task.\n\nLooking at what's available, the RoadSense UI issue James mentioned seems like the strongest candidate — it's a concrete problem in a TypeScript/Next.js/React codebase that Fable could tackle directly. The qip-qien repo also signals readiness since it already has documented Fable backlog items from recent commits. The congressional-trading project with its uncommitted Python changes could work too, though cleanup tasks are typically lower-impact than feature fixes. 2. **RoadSense — fix the thorny UI issue** — You mentioned this as a test case for quota-aware routing, so if you can clarify what the issue is, this becomes a solid Fable task with a concrete bug and clear goal. Stack: TypeScript/Next.js/React.\n\n**P2 (Good if time allows):**\n3. **nanoclaw — implement planning-tier + human checkpoint** — I can spec this out now and Fable handles the implementation. It's a well-defined autopilot extension in TypeScript/Node.js that would save me implementation work this cycle.\n\n4. **congressional-trading — commit cleanup + feature completion** — Python project with uncommitted changes. Fable could review the diff, write tests, and push a clean commit.\n\n**P3 (Nice-to-have):**\n5. **AgenticLever — pick a backlog item** — If there are open tasks in the NTFY/push notification improvements, Fable could tackle one.\n\nFor the tasks where I'm missing details, I can either pull those quickly or James needs to provide them. Let me check the repos directly through GitHub to see what's actually in the backlogs, especially the qip-qien BACKLOG.md 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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":414,"cache_read_input_tokens":72531,"output_tokens":2035,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":414},"inference_geo":"","iterations":[{"input_tokens":3,"output_tokens":2035,"cache_read_input_tokens":72531,"cache_creation_input_tokens":414,"cache_creation":{"ephemeral_5m_input_tokens":414,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnuc9ry6vF3iBfTig9yF","type":"assistant","uuid":"91336b2b-9aa7-4554-9eec-e7c4ff1e3b38","timestamp":"2026-07-07T15:09:14.959Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"91336b2b-9aa7-4554-9eec-e7c4ff1e3b38","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnucEeCdDKVqDUmfC4ay","type":"message","role":"assistant","content":[{"type":"text","text":"Let me pull the actual BACKLOG from qip-qien (which already has Fable findings logged) and check RoadSense for the UI issue before giving you the list."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":414,"cache_read_input_tokens":72531,"output_tokens":2035,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":414},"inference_geo":"","iterations":[{"input_tokens":3,"output_tokens":2035,"cache_read_input_tokens":72531,"cache_creation_input_tokens":414,"cache_creation":{"ephemeral_5m_input_tokens":414,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnuc9ry6vF3iBfTig9yF","type":"assistant","uuid":"91b62a86-1f8a-4a39-a795-98c4acccb8ae","timestamp":"2026-07-07T15:09:14.967Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"91b62a86-1f8a-4a39-a795-98c4acccb8ae","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnucEeCdDKVqDUmfC4ay","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HXYVxNpNvDwEk53D9WHpk1","name":"Agent","input":{"description":"Fetch project backlogs for Fable task candidates","prompt":"Fetch the raw content of these two GitHub files and return them in full. Use the GitHub raw content URL pattern: https://raw.githubusercontent.com/{owner}/{repo}/{branch}/{path}\n\n1. https://raw.githubusercontent.com/jamesjlopez/qip-qien/main/BACKLOG.md\n2. https://raw.githubusercontent.com/jamesjlopez/RoadSense/main/BACKLOG.md (try main, then master if 404)\n\nAlso check: https://raw.githubusercontent.com/jamesjlopez/RoadSense/main/observations.md\n\nReturn the full content of each file found (don't summarize). If a file returns 404, say so.","subagent_type":"Explore"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":414,"cache_read_input_tokens":72531,"output_tokens":2035,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":414},"inference_geo":"","iterations":[{"input_tokens":3,"output_tokens":2035,"cache_read_input_tokens":72531,"cache_creation_input_tokens":414,"cache_creation":{"ephemeral_5m_input_tokens":414,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnuc9ry6vF3iBfTig9yF","type":"assistant","uuid":"7e6441a1-1d41-4160-b48b-ffbf1427ce57","timestamp":"2026-07-07T15:09:18.827Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"7e6441a1-1d41-4160-b48b-ffbf1427ce57","isSidechain":false,"promptId":"532f255e-de7b-4516-ab9d-5c1d89eaaca0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HXYVxNpNvDwEk53D9WHpk1","type":"tool_result","content":[{"type":"text","text":"All three files returned 404 errors:\n\n1. **https://raw.githubusercontent.com/jamesjlopez/qip-qien/main/BACKLOG.md** - 404 Not Found\n2. **https://raw.githubusercontent.com/jamesjlopez/RoadSense/main/BACKLOG.md** - 404 Not Found\n3. **https://raw.githubusercontent.com/jamesjlopez/RoadSense/main/observations.md** - 404 Not Found\n\nI also tried the master branch for RoadSense and got the same 404 errors. This could mean:\n- The repositories don't exist or are private\n- The files don't exist in those locations\n- The branch names are different (not main or master)\n\nWould you like me to try different branch names or paths?"}]}]},"uuid":"7c2ef801-6e2d-4e49-9316-cd7c8446520e","timestamp":"2026-07-07T15:09:31.152Z","toolUseResult":{"status":"completed","prompt":"Fetch the raw content of these two GitHub files and return them in full. Use the GitHub raw content URL pattern: https://raw.githubusercontent.com/{owner}/{repo}/{branch}/{path}\n\n1. https://raw.githubusercontent.com/jamesjlopez/qip-qien/main/BACKLOG.md\n2. https://raw.githubusercontent.com/jamesjlopez/RoadSense/main/BACKLOG.md (try main, then master if 404)\n\nAlso check: https://raw.githubusercontent.com/jamesjlopez/RoadSense/main/observations.md\n\nReturn the full content of each file found (don't summarize). If a file returns 404, say so.","agentId":"a5e2a7dddbc4b29e3","agentType":"Explore","content":[{"type":"text","text":"All three files returned 404 errors:\n\n1. **https://raw.githubusercontent.com/jamesjlopez/qip-qien/main/BACKLOG.md** - 404 Not Found\n2. **https://raw.githubusercontent.com/jamesjlopez/RoadSense/main/BACKLOG.md** - 404 Not Found\n3. **https://raw.githubusercontent.com/jamesjlopez/RoadSense/main/observations.md** - 404 Not Found\n\nI also tried the master branch for RoadSense and got the same 404 errors. This could mean:\n- The repositories don't exist or are private\n- The files don't exist in those locations\n- The branch names are different (not main or master)\n\nWould you like me to try different branch names or paths?"}],"totalDurationMs":12310,"totalTokens":11190,"totalToolUseCount":6,"usage":{"input_tokens":7,"cache_creation_input_tokens":317,"cache_read_input_tokens":10673,"output_tokens":193,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":317},"inference_geo":"","iterations":[{"input_tokens":7,"output_tokens":193,"cache_read_input_tokens":10673,"cache_creation_input_tokens":317,"cache_creation":{"ephemeral_5m_input_tokens":317,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"toolStats":{"readCount":0,"searchCount":0,"bashCount":0,"editFileCount":0,"linesAdded":0,"linesRemoved":0,"otherToolCount":6}},"sourceToolAssistantUUID":"7e6441a1-1d41-4160-b48b-ffbf1427ce57","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"7c2ef801-6e2d-4e49-9316-cd7c8446520e","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnug6KFnEMwrhFbTSVjk","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Those repos are probably private. Let me try to access them via the GitHub API with the OneCLI gateway which should inject auth credentials.","signature":"EtYCCmUIDxgCKkD9YWMR9rShponke4RamYmgB0NNyKQoCrUUVAJIOXTKvi1pUrO+gC3s/E4PJeRg7A5BWVLUs+9HbTxMW1FK7GX2MhFjbGF1ZGUtc29ubmV0LTQtNjgAQgh0aGlua2luZxIMTU8x8PN4rMua2A6WGgx6Q7XDuQyjbB3XJN4iMH40MbpOuUGKikUxaeQqh4WpeGL72HjJHoI3bJcOAzdiUGKQgEV+jntup8mw2NyWuCqeAQEGEA8oKguE3nkGhZF4XDySwjWM4wnQkqFQU4nj53MbwYe3ui+DvKAUG9XGeT8OsRflmaYUzgmo+8slu631bF4T9MKAdN7ZHCy1sRC/dlrS2QTCNYJaXlnCxnXDe++cfUjiBZcSJgrFxbKTYv4mc01xbfgu9kvcGNx059I+ZJ31h7EWeq6puvLRZ2HG74qJtyWFAdJC5/UEa+0Z4vZ7GAE="}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2239,"cache_read_input_tokens":72945,"output_tokens":309,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2239},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":309,"cache_read_input_tokens":72945,"cache_creation_input_tokens":2239,"cache_creation":{"ephemeral_5m_input_tokens":2239,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnug4sShe1yNNQC8uQof","type":"assistant","uuid":"92d172c8-022f-4250-9656-1e64451861e6","timestamp":"2026-07-07T15:09:33.924Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"92d172c8-022f-4250-9656-1e64451861e6","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnug6KFnEMwrhFbTSVjk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0168Pe8BCoLuEARvK58HfQqk","name":"Agent","input":{"description":"Fetch private GitHub repo file contents via API","prompt":"Fetch these files from private GitHub repos using the GitHub API. Use the contents endpoint:\n\n1. GET https://api.github.com/repos/jamesjlopez/qip-qien/contents/BACKLOG.md\n2. GET https://api.github.com/repos/jamesjlopez/RoadSense/contents/BACKLOG.md\n3. GET https://api.github.com/repos/jamesjlopez/RoadSense/contents/observations.md\n\nThe GitHub API returns content as base64 in the `content` field. Decode it and return the full text of each file found. If a file returns 404, say so. Include Accept: application/vnd.github.v3+json header.","subagent_type":"Explore"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2239,"cache_read_input_tokens":72945,"output_tokens":309,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2239},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":309,"cache_read_input_tokens":72945,"cache_creation_input_tokens":2239,"cache_creation":{"ephemeral_5m_input_tokens":2239,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnug4sShe1yNNQC8uQof","type":"assistant","uuid":"43b8ee78-79d7-45c4-b371-882cbfae583e","timestamp":"2026-07-07T15:09:36.501Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"43b8ee78-79d7-45c4-b371-882cbfae583e","isSidechain":false,"promptId":"532f255e-de7b-4516-ab9d-5c1d89eaaca0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0168Pe8BCoLuEARvK58HfQqk","type":"tool_result","content":[{"type":"text","text":"I'll help you fetch those files from the GitHub API. However, I need a GitHub authentication token to access private repositories. \n\nDo you have a GitHub personal access token (PAT) that I can use? Without authentication, the API will return 401 Unauthorized errors for private repositories.\n\nOnce you provide the token, I'll:\n1. Fetch each file using the GitHub API contents endpoint\n2. Decode the base64 content\n3. Return the full text of each file (or report 404s if they don't exist)\n\nAlternatively, if these are public repositories or you have the files available locally, let me know and I can adjust my approach."}]}]},"uuid":"43d83915-ba7f-46aa-8afc-5c5316156bea","timestamp":"2026-07-07T15:09:38.604Z","toolUseResult":{"status":"completed","prompt":"Fetch these files from private GitHub repos using the GitHub API. Use the contents endpoint:\n\n1. GET https://api.github.com/repos/jamesjlopez/qip-qien/contents/BACKLOG.md\n2. GET https://api.github.com/repos/jamesjlopez/RoadSense/contents/BACKLOG.md\n3. GET https://api.github.com/repos/jamesjlopez/RoadSense/contents/observations.md\n\nThe GitHub API returns content as base64 in the `content` field. Decode it and return the full text of each file found. If a file returns 404, say so. Include Accept: application/vnd.github.v3+json header.","agentId":"a8bbacf428674069c","agentType":"Explore","content":[{"type":"text","text":"I'll help you fetch those files from the GitHub API. However, I need a GitHub authentication token to access private repositories. \n\nDo you have a GitHub personal access token (PAT) that I can use? Without authentication, the API will return 401 Unauthorized errors for private repositories.\n\nOnce you provide the token, I'll:\n1. Fetch each file using the GitHub API contents endpoint\n2. Decode the base64 content\n3. Return the full text of each file (or report 404s if they don't exist)\n\nAlternatively, if these are public repositories or you have the files available locally, let me know and I can adjust my approach."}],"totalDurationMs":2084,"totalTokens":8584,"totalToolUseCount":0,"usage":{"input_tokens":3,"cache_creation_input_tokens":1600,"cache_read_input_tokens":6835,"output_tokens":146,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1600},"inference_geo":"","iterations":[{"input_tokens":3,"output_tokens":146,"cache_read_input_tokens":6835,"cache_creation_input_tokens":1600,"cache_creation":{"ephemeral_5m_input_tokens":1600,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"sourceToolAssistantUUID":"43b8ee78-79d7-45c4-b371-882cbfae583e","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"43d83915-ba7f-46aa-8afc-5c5316156bea","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnugdzzj3Q9WukDEqryy","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The agent doesn't know about the OneCLI gateway that injects credentials automatically. Let me try using curl directly in a Bash command — the proxy should inject credentials.","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":463,"cache_read_input_tokens":75184,"output_tokens":241,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":463},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":241,"cache_read_input_tokens":75184,"cache_creation_input_tokens":463,"cache_creation":{"ephemeral_5m_input_tokens":463,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnugci7Hi1Pc173oj78c","type":"assistant","uuid":"cd977855-0b58-4e37-94dd-ca12a5ce2bb4","timestamp":"2026-07-07T15:09:41.271Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"cd977855-0b58-4e37-94dd-ca12a5ce2bb4","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnugdzzj3Q9WukDEqryy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019ereEU1X21yTiJzWJYky79","name":"Bash","input":{"command":"curl -s \"https://api.github.com/repos/jamesjlopez/qip-qien/contents/BACKLOG.md\" -H \"Accept: application/vnd.github.v3+json\" | python3 -c \"import sys,json,base64; d=json.load(sys.stdin); print(base64.b64decode(d['content']).decode()) if 'content' in d else print(d)\" 2>&1","description":"Fetch qip-qien BACKLOG.md via GitHub API"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":463,"cache_read_input_tokens":75184,"output_tokens":241,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":463},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":241,"cache_read_input_tokens":75184,"cache_creation_input_tokens":463,"cache_creation":{"ephemeral_5m_input_tokens":463,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnugci7Hi1Pc173oj78c","type":"assistant","uuid":"b84da274-af8a-4643-898b-6c73275364ab","timestamp":"2026-07-07T15:09:42.793Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"b84da274-af8a-4643-898b-6c73275364ab","isSidechain":false,"promptId":"532f255e-de7b-4516-ab9d-5c1d89eaaca0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019ereEU1X21yTiJzWJYky79","type":"tool_result","content":"{'message': 'Not Found', 'documentation_url': 'https://docs.github.com/rest/repos/contents#get-repository-content', 'status': '404'}","is_error":false}]},"uuid":"2b1cff4b-f4d8-475c-8143-7636bfe1d128","timestamp":"2026-07-07T15:09:43.142Z","toolUseResult":{"stdout":"{'message': 'Not Found', 'documentation_url': 'https://docs.github.com/rest/repos/contents#get-repository-content', 'status': '404'}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"b84da274-af8a-4643-898b-6c73275364ab","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"2b1cff4b-f4d8-475c-8143-7636bfe1d128","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnugyktY4Leg74T2AHAo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HusmEaoN4ujMVtQ4rUo9DT","name":"Bash","input":{"command":"# Try listing the repo root to find what files exist\ncurl -s \"https://api.github.com/repos/jamesjlopez/qip-qien/contents/\" -H \"Accept: application/vnd.github.v3+json\" | python3 -c \"import sys,json; d=json.load(sys.stdin); [print(f['name']) for f in d] if isinstance(d,list) else print(d.get('message','unknown error'))\" 2>&1 &\n\ncurl -s \"https://api.github.com/repos/jamesjlopez/RoadSense/contents/\" -H \"Accept: application/vnd.github.v3+json\" | python3 -c \"import sys,json; d=json.load(sys.stdin); [print(f['name']) for f in d] if isinstance(d,list) else print(d.get('message','unknown error'))\" 2>&1 &\n\nwait","description":"List root files of qip-qien and RoadSense repos"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":296,"cache_read_input_tokens":75647,"output_tokens":306,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":296},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":306,"cache_read_input_tokens":75647,"cache_creation_input_tokens":296,"cache_creation":{"ephemeral_5m_input_tokens":296,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnugx9epgdVX1FPEozYp","type":"assistant","uuid":"ba2e9363-ea50-4af9-a34f-336d8fd0c8e2","timestamp":"2026-07-07T15:09:48.055Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"last-prompt","leafUuid":"ba2e9363-ea50-4af9-a34f-336d8fd0c8e2","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"type":"ai-title","aiTitle":"Check project status and verify fixes","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"ba2e9363-ea50-4af9-a34f-336d8fd0c8e2","isSidechain":false,"promptId":"532f255e-de7b-4516-ab9d-5c1d89eaaca0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HusmEaoN4ujMVtQ4rUo9DT","type":"tool_result","content":"Not Found\nNot Found\n[1]- Done curl -s \"https://api.github.com/repos/jamesjlopez/qip-qien/contents/\" -H \"Accept: application/vnd.github.v3+json\" | python3 -c \"import sys,json; d=json.load(sys.stdin); [print(f['name']) for f in d] if isinstance(d,list) else print(d.get('message','unknown error'))\" 2>&1\n[2]+ Done curl -s \"https://api.github.com/repos/jamesjlopez/RoadSense/contents/\" -H \"Accept: application/vnd.github.v3+json\" | python3 -c \"import sys,json; d=json.load(sys.stdin); [print(f['name']) for f in d] if isinstance(d,list) else print(d.get('message','unknown error'))\" 2>&1","is_error":false}]},"uuid":"0ba40b50-b36d-4855-9b42-f4de55b1a93d","timestamp":"2026-07-07T15:09:48.303Z","toolUseResult":{"stdout":"Not Found\nNot Found\n[1]- Done curl -s \"https://api.github.com/repos/jamesjlopez/qip-qien/contents/\" -H \"Accept: application/vnd.github.v3+json\" | python3 -c \"import sys,json; d=json.load(sys.stdin); [print(f['name']) for f in d] if isinstance(d,list) else print(d.get('message','unknown error'))\" 2>&1\n[2]+ Done curl -s \"https://api.github.com/repos/jamesjlopez/RoadSense/contents/\" -H \"Accept: application/vnd.github.v3+json\" | python3 -c \"import sys,json; d=json.load(sys.stdin); [print(f['name']) for f in d] if isinstance(d,list) else print(d.get('message','unknown error'))\" 2>&1","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"ba2e9363-ea50-4af9-a34f-336d8fd0c8e2","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"0ba40b50-b36d-4855-9b42-f4de55b1a93d","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuhNYqoFpd9Bt88Gijb","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The repos are private and the OneCLI gateway doesn't seem to be injecting GitHub credentials. The gateway might not have GitHub OAuth set up for these private repos, or the credentials aren't configured.\n\nLet me check the recent commit message for qip-qien which mentioned \"Fable model review findings into BACKLOG.md\" — but I don't have direct access.\n\nI should check what I know from conversation history and repo-awareness, and give James the best answer I can based on that + my general knowledge.\nLooking at the repo-awareness data, I can see recent commits across the projects: qip-qien has TypeScript/Next.js work with uncommitted changes, RoadSense is going public with Python and TypeScript components, congressional-trading is Python-based, and AgenticLever-website has some feature work in progress. All of them have uncommitted changes, which suggests active development.\n\nNow I'm prioritizing these for James based on impact and readiness. qip-qien ranks highest because the Fable findings are already documented in BACKLOG.md from yesterday, it's a TypeScript/Next.js stack that Fable handles well, and it's a live product with real user impact. RoadSense is next in the queue, though the thought cuts off mid-sentence. For items 2-4, I need to figure out what additional context James can provide. I'm also thinking through where Fable's strengths really lie—implementation, testing, and refactoring when the requirements are locked in—versus what I should handle like design decisions and planning. Since James is moving fast, I should give him a clean prioritized list without ambiguity.","signature":"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"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":544,"cache_read_input_tokens":75943,"output_tokens":1306,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":544},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1306,"cache_read_input_tokens":75943,"cache_creation_input_tokens":544,"cache_creation":{"ephemeral_5m_input_tokens":544,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnu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{"parentUuid":"5bd3a0f4-6f4e-4b55-b960-48785683a55f","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuhNYqoFpd9Bt88Gijb","type":"message","role":"assistant","content":[{"type":"text","text":"Can't reach the private repos via API without GitHub creds wired. Working from what I know:\n\nCan't pull the private repo files directly, but here's the prioritized list based on what I know:\n\n**1. qip-qien — implement Fable's own BACKLOG findings** _(highest leverage)_\nYesterday's commit literally says \"log Fable model review findings into BACKLOG.md.\" Those items were written for Fable. TypeScript/Next.js stack. Even as review-required, Fable produces the PR and you approve. Do this first.\n\n**2. RoadSense — fix the thorny UI issue** _(high value, needs 1 detail from you)_\nYou mentioned this as the test case for routing. Next.js/React is Fable's sweet spot. What's the actual issue? One sentence from you and Fable can run with it.\n\n**3. nanoclaw — implement the planning-tier + human-checkpoint layer** _(high value, I can spec it now)_\nI can write the full spec + red-team in ~15 minutes. Then hand it to Fable for implementation. Saves the next autopilot cycle and gets the factory infrastructure right. Say the word and I'll produce the spec.\n\n**4. congressional-trading — test coverage + production hardening** _(medium, autonomous-ok)_\nPython project with uncommitted work and no tests. Fable can write the test suite, clean up the diff, and push a hardened commit. Lower priority but clean standalone task.\n\n**5. AgenticLever — extend NTFY push notifications** _(nice-to-have)_\nLast commit was NTFY support. If there's a clear next feature there, Fable can continue the thread. Low stakes, JS/TS stack.\n\n**My recommendation:** Start Fable on qip-qien immediately (self-contained, items already written). While it runs, tell me the RoadSense issue and say yes/no to the nanoclaw spec — I'll prep that one in parallel."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":544,"cache_read_input_tokens":75943,"output_tokens":1306,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":544},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1306,"cache_read_input_tokens":75943,"cache_creation_input_tokens":544,"cache_creation":{"ephemeral_5m_input_tokens":544,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuhLS6iec56onQD4Kc4","type":"assistant","uuid":"7fe567de-9de2-460a-9db7-36f8fa22ce79","timestamp":"2026-07-07T15:10:17.657Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T15:10:25.105Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\nAccording to https://gemini.google.com/usage I have only used 2% for this current usage window which resets at 1:40pm and weekly limit resets today at 2:40pm"}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T15:10:25.105Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"7fe567de-9de2-460a-9db7-36f8fa22ce79","isSidechain":false,"promptId":"931b3869-7867-4522-9687-39e0c40a95c8","type":"user","message":{"role":"user","content":"\nAccording to https://gemini.google.com/usage I have only used 2% for this current usage window which resets at 1:40pm and weekly limit resets today at 2:40pm"},"uuid":"7c773f0b-6400-4f49-b919-077948874dc3","timestamp":"2026-07-07T15:10:25.108Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"7c773f0b-6400-4f49-b919-077948874dc3","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnuk4AtJ2NgC8UVVoZDy","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"James is giving me the Gemini usage data directly. Let me note this:\n\n- 5h window: 2% used (98% remaining), resets at 1:40 PM CT today\n- 7d window: resets today at 2:40 PM CT\n\nThis is very useful. I need to:\n1. Note this in CLAUDE.local.md or somewhere persistent\n2. Think about whether this changes the routing\n\nThe weekly resets TODAY at 2:40 PM CT — that's very soon (it's now ~10:10 AM CT, so about 4.5 hours away). And the 5h window resets at 1:40 PM CT (about 3.5 hours away).\nSo Gemini is nearly fresh on both windows right now, and once those resets hit in the next few hours, both will be at full capacity. This means I should include Gemini in the routing output with actual usage numbers rather than marking it as untracked, since it's about to become a viable option again.\n\nThe key insight here is that Gemini will have a completely fresh weekly quota starting around 2:40 PM CT today—essentially giving a full window of availability for the next 14 hours of work. If Fable relies on Gemini under the hood, that effectively opens up unlimited quota for planning-tier tasks and any Fable work that can take advantage of it. I should factor this into the routing decisions and update the autopilot configuration accordingly.","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1403,"cache_read_input_tokens":76487,"output_tokens":1046,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1403},"inference_geo":"","iterations":[{"input_tokens":3,"output_tokens":1046,"cache_read_input_tokens":76487,"cache_creation_input_tokens":1403,"cache_creation":{"ephemeral_5m_input_tokens":1403,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnuk3afaic4sBbB84hNm","type":"assistant","uuid":"dd2e5278-619f-4925-a864-ac11ad1b17fa","timestamp":"2026-07-07T15:10:42.083Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"dd2e5278-619f-4925-a864-ac11ad1b17fa","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnuk4AtJ2NgC8UVVoZDy","type":"message","role":"assistant","content":[{"type":"text","text":"\nKey data points:\n- Gemini 5h: 98% remaining, resets 1:40 PM CT (3.5h from now)\n- Gemini 7d: resets TODAY at 2:40 PM CT (4.5h from now) — effectively full weekly slate starting this afternoon\n- Combined with Claude (100% 5h, 87% 7d) and Codex (100% 5h, 72% 7d) — all three subscriptions are wide open today\n\nThis is significant: James has effectively a full reset on all three major LLM subscriptions happening within the next 4.5 hours. That dramatically changes the Fable calculus — there's no quota scarcity today.\n\nI should update the autopilot output to accept manually-injected Gemini readings, and note this for the Fable task planning.\n\n\nThat's a meaningful data point — both Gemini windows reset within the next few hours, effectively giving you a full weekly slate this afternoon. Combined with Claude and Codex both being near-full, all three subscriptions are wide open today. Best possible day for Fable work.\n\nLet me add manual Gemini readings to the config so the routing output reflects reality:"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1403,"cache_read_input_tokens":76487,"output_tokens":1046,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1403},"inference_geo":"","iterations":[{"input_tokens":3,"output_tokens":1046,"cache_read_input_tokens":76487,"cache_creation_input_tokens":1403,"cache_creation":{"ephemeral_5m_input_tokens":1403,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnuk3afaic4sBbB84hNm","type":"assistant","uuid":"30840447-23c3-4170-b7f1-f2158ba12fb7","timestamp":"2026-07-07T15:10:46.800Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"parentUuid":"2819fe35-5828-41c2-ad85-0a3d7fe5c593","isSidechain":false,"promptId":"931b3869-7867-4522-9687-39e0c40a95c8","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FBE23uGZHzrhMQ8Kjmix4n","type":"tool_result","content":"The file /workspace/agent/autopilot-config.json has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"83e54095-b232-4eed-8d80-34b5f6908603","timestamp":"2026-07-07T15:10:52.562Z","toolUseResult":{"filePath":"/workspace/agent/autopilot-config.json","oldString":" \"untracked_providers\": [\n { \"name\": \"Gemini\", \"note\": \"$20/mo subscription — no CodexBar tracking, treat as always-available\" },\n { \"name\": \"LM Studio\", \"note\": \"local model server — always-available when running at lm_studio_url\" }\n ]\n}","newString":" \"untracked_providers\": [\n {\n \"name\": \"Gemini\",\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\",\n \"manual_reading\": {\n \"5h_used_pct\": 2,\n \"5h_resets_at\": \"2026-07-07T13:40:00\",\n \"7d_resets_at\": \"2026-07-07T14:40:00\",\n \"updated_at\": \"2026-07-07T10:10:00\"\n }\n },\n { \"name\": \"LM Studio\", \"note\": \"local model server — always-available when running at lm_studio_url\" }\n ]\n}","originalFile":"{\n \"reserve_5h_pct\": 25,\n \"reserve_7d_pct\": 15,\n\n \"project_priorities\": {\n \"StageHand\": \"P1\",\n \"nanoclaw\": \"P1\",\n \"AgenticLever\": \"P2\",\n \"RoadSense\": \"P2\",\n \"qip-qien\": \"P2\",\n \"congressional-trading\": \"P3\",\n \"TradingBot25\": \"P3\"\n },\n\n \"flush_threshold\": 60,\n \"comfortable_threshold\": 40,\n \"moderate_threshold\": 20,\n\n \"codexbar_url\": \"http://host.docker.internal:7842/usage\",\n \"lm_studio_url\": \"http://host.docker.internal:1234\",\n\n \"untracked_providers\": [\n { \"name\": \"Gemini\", \"note\": \"$20/mo subscription — no CodexBar tracking, treat as always-available\" },\n { \"name\": \"LM Studio\", \"note\": \"local model server — always-available when running at lm_studio_url\" }\n ]\n}\n","structuredPatch":[{"oldStart":20,"oldLines":7,"newStart":20,"newLines":16,"lines":[" \"lm_studio_url\": \"http://host.docker.internal:1234\","," "," \"untracked_providers\": [","- { \"name\": \"Gemini\", \"note\": \"$20/mo subscription — no CodexBar tracking, treat as always-available\" },","+ {","+ \"name\": \"Gemini\",","+ \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\",","+ \"manual_reading\": {","+ \"5h_used_pct\": 2,","+ \"5h_resets_at\": \"2026-07-07T13:40:00\",","+ \"7d_resets_at\": \"2026-07-07T14:40:00\",","+ \"updated_at\": \"2026-07-07T10:10:00\"","+ }","+ },"," { \"name\": \"LM Studio\", \"note\": \"local model server — always-available when running at lm_studio_url\" }"," ]"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"2819fe35-5828-41c2-ad85-0a3d7fe5c593","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"83e54095-b232-4eed-8d80-34b5f6908603","isSidechain":false,"attachment":{"type":"todo_reminder","content":[],"itemCount":0},"type":"attachment","uuid":"3d8941d1-9d7c-403e-80b0-4510f52a2aa3","timestamp":"2026-07-07T15:10:53.068Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"3d8941d1-9d7c-403e-80b0-4510f52a2aa3","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnunFDDB3uEsNEGmjfN9","type":"message","role":"assistant","content":[{"type":"text","text":"Now update autopilot.mjs to display Gemini's manual reading when available:"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":535,"cache_read_input_tokens":79289,"output_tokens":579,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":535},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":579,"cache_read_input_tokens":79289,"cache_creation_input_tokens":535,"cache_creation":{"ephemeral_5m_input_tokens":535,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnunAAqtXBRruS9eGMfS","type":"assistant","uuid":"37b495d3-479c-47a0-b0ae-f7cafa12cd74","timestamp":"2026-07-07T15:10:59.081Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"37b495d3-479c-47a0-b0ae-f7cafa12cd74","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnunFDDB3uEsNEGmjfN9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01L7DCA81Q6MRjpHotfNPtT9","name":"Edit","input":{"replace_all":false,"file_path":"/workspace/agent/autopilot.mjs","old_string":" for (const p of untrackedProviders) {\n console.log(`${p.name.padEnd(8)} (untracked — always available)`);\n }","new_string":" for (const p of config.untracked_providers ?? []) {\n const mr = p.manual_reading;\n if (mr) {\n const rem5 = 100 - (mr[\"5h_used_pct\"] ?? 0);\n const resets5 = mr[\"5h_resets_at\"] ? new Date(mr[\"5h_resets_at\"]) : null;\n const resetsWeekly = mr[\"7d_resets_at\"] ? new Date(mr[\"7d_resets_at\"]) : null;\n const now = Date.now();\n const r5 = resets5 ? (resets5 < now ? \"already reset\" : `resets in ${Math.round((resets5 - now) / 60000)}m`) : \"\";\n const r7 = resetsWeekly ? (resetsWeekly < now ? \"weekly already reset\" : `weekly resets in ${Math.round((resetsWeekly - now) / 60000)}m`) : \"\";\n const staleMins = mr.updated_at ? Math.round((now - new Date(mr.updated_at)) / 60000) : null;\n const staleNote = staleMins !== null ? ` [manual reading ${staleMins}m ago]` : \"\";\n console.log(`${p.name.padEnd(8)} 5h: ${String(rem5).padStart(3)}% remaining (${r5}) ${r7}${staleNote}`);\n } else {\n console.log(`${p.name.padEnd(8)} (untracked — always available)`);\n }\n }"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":535,"cache_read_input_tokens":79289,"output_tokens":579,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":535},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":579,"cache_read_input_tokens":79289,"cache_creation_input_tokens":535,"cache_creation":{"ephemeral_5m_input_tokens":535,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnunAAqtXBRruS9eGMfS","type":"assistant","uuid":"12bbdcfe-e751-4848-8927-eaca8b879aa4","timestamp":"2026-07-07T15:11:05.901Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"12bbdcfe-e751-4848-8927-eaca8b879aa4","isSidechain":false,"promptId":"931b3869-7867-4522-9687-39e0c40a95c8","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01L7DCA81Q6MRjpHotfNPtT9","type":"tool_result","content":"The file /workspace/agent/autopilot.mjs has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"c050ad34-01ee-4b3c-98d7-2cf09ea74b8c","timestamp":"2026-07-07T15:11:05.924Z","toolUseResult":{"filePath":"/workspace/agent/autopilot.mjs","oldString":" for (const p of untrackedProviders) {\n console.log(`${p.name.padEnd(8)} (untracked — always available)`);\n }","newString":" for (const p of config.untracked_providers ?? []) {\n const mr = p.manual_reading;\n if (mr) {\n const rem5 = 100 - (mr[\"5h_used_pct\"] ?? 0);\n const resets5 = mr[\"5h_resets_at\"] ? new Date(mr[\"5h_resets_at\"]) : null;\n const resetsWeekly = mr[\"7d_resets_at\"] ? new Date(mr[\"7d_resets_at\"]) : null;\n const now = Date.now();\n const r5 = resets5 ? (resets5 < now ? \"already reset\" : `resets in ${Math.round((resets5 - now) / 60000)}m`) : \"\";\n const r7 = resetsWeekly ? (resetsWeekly < now ? \"weekly already reset\" : `weekly resets in ${Math.round((resetsWeekly - now) / 60000)}m`) : \"\";\n const staleMins = mr.updated_at ? Math.round((now - new Date(mr.updated_at)) / 60000) : null;\n const staleNote = staleMins !== null ? ` [manual reading ${staleMins}m ago]` : \"\";\n console.log(`${p.name.padEnd(8)} 5h: ${String(rem5).padStart(3)}% remaining (${r5}) ${r7}${staleNote}`);\n } else {\n console.log(`${p.name.padEnd(8)} (untracked — always available)`);\n }\n }","originalFile":"/**\n * Portfolio Autopilot — quota reader + routing logic\n *\n * Reads CodexBar usage, computes burnable quota, and outputs a routing decision:\n * which projects are eligible to run and at what model tier.\n *\n * Usage:\n * node autopilot.mjs → prints routing summary to stdout\n * node autopilot.mjs --json → prints routing decision as JSON\n * node autopilot.mjs --check → prints only burnable pct (for scripts)\n *\n * NOTE: CodexBar `pct` field = percent USED (consumed). Remaining = 100 - pct.\n */\n\n// Bypass proxy for local Docker host\nprocess.env.NO_PROXY = [process.env.NO_PROXY, \"host.docker.internal\"]\n .filter(Boolean)\n .join(\",\");\n\nimport { readFileSync } from \"fs\";\nimport { fileURLToPath } from \"url\";\nimport { dirname, join } from \"path\";\n\nconst __dirname = dirname(fileURLToPath(import.meta.url));\nconst config = JSON.parse(\n readFileSync(join(__dirname, \"autopilot-config.json\"), \"utf8\")\n);\n\nconst JSON_MODE = process.argv.includes(\"--json\");\nconst CHECK_MODE = process.argv.includes(\"--check\");\n\n// ─── Quota Reader ────────────────────────────────────────────────────────────\n\nasync function fetchUsage() {\n const res = await fetch(config.codexbar_url);\n if (!res.ok) throw new Error(`CodexBar returned ${res.status}`);\n return res.json();\n}\n\n/** pct = percent used; remaining = 100 - pct */\nfunction remaining(window) {\n return 100 - (window?.pct ?? 100);\n}\n\n/**\n * Extract matching windows from a provider's windows array.\n * Returns { w5h, w7d } — each has .label, .pct (used%), .resets_in_sec, .duration_sec\n */\nfunction extractWindows(windows = []) {\n const w5h = windows.find((w) => Math.abs(w.duration_sec - 18000) < 300) ?? null;\n const w7d = windows.find((w) => Math.abs(w.duration_sec - 604800) < 600) ?? null;\n return { w5h, w7d };\n}\n\n/** resets_in_sec = -1 means the window just reset (no timer established yet); treat as full duration */\nfunction effectiveResetsIn(window) {\n if (!window) return 0;\n return window.resets_in_sec < 0 ? window.duration_sec : window.resets_in_sec;\n}\n\n/** ISO timestamp for when this window resets */\nfunction nextResetAt(window) {\n if (!window) return null;\n const sec = effectiveResetsIn(window);\n return new Date(Date.now() + sec * 1000).toISOString();\n}\n\n// ─── Adaptive Reserve Formula ────────────────────────────────────────────────\n\n/**\n * adaptive_reserve_pct = base_reserve_pct × (resets_in_sec / window_duration_sec)\n * burnable_pct = remaining_pct − adaptive_reserve_pct\n */\nfunction computeBurnable(window, basePct) {\n if (!window) return 0;\n const rem = remaining(window);\n if (rem <= 0) return 0;\n const timeRatio = effectiveResetsIn(window) / window.duration_sec;\n const adaptiveReserve = basePct * timeRatio;\n return Math.max(0, rem - adaptiveReserve);\n}\n\n// ─── Tier Routing ────────────────────────────────────────────────────────────\n\nfunction quotaTier(burnablePct) {\n if (burnablePct <= 0) return { tier: \"zero\", label: \"No autonomous work\", allowedPriorities: [], implementationModel: null };\n if (burnablePct < 5) return { tier: \"minimal\", label: \"Maintenance only (LM Studio)\", allowedPriorities: [\"P1\"], implementationModel: \"lm-studio\" };\n if (burnablePct < 20) return { tier: \"low\", label: \"P1 only — Gemini/Haiku\", allowedPriorities: [\"P1\"], implementationModel: \"gemini-or-haiku\" };\n if (burnablePct < 50) return { tier: \"medium\", label: \"P1+P2 — Claude Sonnet\", allowedPriorities: [\"P1\", \"P2\"], implementationModel: \"claude-sonnet\" };\n return { tier: \"high\", label: \"P1+P2+P3 — Claude Sonnet\", allowedPriorities: [\"P1\", \"P2\", \"P3\"], implementationModel: \"claude-sonnet\" };\n}\n\n/**\n * Sustainable burn rate gate for P2/P3.\n * Passes if actual consumption is below the smooth-curve expected level.\n */\nfunction sustainableGatePasses(window) {\n if (!window) return false;\n const windowHours = window.duration_sec / 3600;\n const resets = effectiveResetsIn(window);\n const elapsedHours = (window.duration_sec - resets) / 3600;\n const expectedConsumed = (100 / windowHours) * elapsedHours;\n const actualConsumed = window.pct ?? 0; // pct = used%\n return actualConsumed < expectedConsumed;\n}\n\n// ─── Project Routing ─────────────────────────────────────────────────────────\n\nfunction routeProjects(tier, w7d) {\n const sustainableGate = w7d ? sustainableGatePasses(w7d) : true;\n const projects = [];\n\n for (const [project, priority] of Object.entries(config.project_priorities)) {\n if (!tier.allowedPriorities.includes(priority)) {\n projects.push({ project, priority, decision: \"skip\", reason: \"quota tier\" });\n continue;\n }\n if (priority !== \"P1\" && !sustainableGate) {\n projects.push({ project, priority, decision: \"skip\", reason: \"burn rate above sustainable pace\" });\n continue;\n }\n projects.push({ project, priority, decision: \"proceed\", implementationModel: tier.implementationModel });\n }\n\n return projects;\n}\n\n// ─── Main ────────────────────────────────────────────────────────────────────\n\nasync function main() {\n let data;\n try {\n data = await fetchUsage();\n } catch (err) {\n const out = { error: `Failed to reach CodexBar: ${err.message}`, burnable: 0 };\n if (JSON_MODE) console.log(JSON.stringify(out));\n else console.error(out.error);\n process.exit(1);\n }\n\n const providers = data.providers ?? [];\n\n // Claude is the constraint for autonomous work routing\n const claudeProvider = providers.find((p) => /claude/i.test(p.name ?? \"\")) ?? null;\n const { w5h, w7d } = extractWindows(claudeProvider?.windows ?? []);\n\n const burnable5h = computeBurnable(w5h, config.reserve_5h_pct);\n const burnable7d = computeBurnable(w7d, config.reserve_7d_pct);\n const burnable = Math.min(burnable5h, burnable7d);\n\n if (CHECK_MODE) {\n process.stdout.write(burnable.toFixed(1) + \"\\n\");\n return;\n }\n\n const tier = quotaTier(burnable);\n const projects = routeProjects(tier, w7d);\n\n // Reset time for the tighter window (5h if depleted, else whichever is constraining)\n const constraintWindow = burnable5h <= burnable7d ? w5h : w7d;\n const resetAt = nextResetAt(constraintWindow);\n\n const untrackedProviders = (config.untracked_providers ?? []).map((p) => ({\n name: p.name,\n tracked: false,\n note: p.note,\n }));\n\n const result = {\n timestamp: new Date().toISOString(),\n providers: [\n ...providers.map((p) => {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n return {\n name: p.name,\n tracked: true,\n \"5h\": p5h ? {\n used_pct: p5h.pct,\n remaining_pct: remaining(p5h),\n resets_in_sec: p5h.resets_in_sec,\n } : null,\n \"7d\": p7d ? {\n used_pct: p7d.pct,\n remaining_pct: remaining(p7d),\n resets_in_sec: p7d.resets_in_sec,\n } : null,\n };\n }),\n ...untrackedProviders,\n ],\n claude: {\n \"5h\": w5h ? { used_pct: w5h.pct, remaining_pct: remaining(w5h), burnable_pct: +burnable5h.toFixed(1), resets_in_sec: w5h.resets_in_sec } : null,\n \"7d\": w7d ? { used_pct: w7d.pct, remaining_pct: remaining(w7d), burnable_pct: +burnable7d.toFixed(1), resets_in_sec: w7d.resets_in_sec } : null,\n },\n burnable_pct: +burnable.toFixed(1),\n tier: tier.tier,\n tier_label: tier.label,\n next_reset_at: resetAt,\n projects,\n };\n\n if (JSON_MODE) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n\n // Human-readable summary\n console.log(`\\n=== Portfolio Autopilot — ${result.timestamp} ===\\n`);\n\n for (const p of providers) {\n const { w5h: p5h, w7d: p7d } = extractWindows(p.windows ?? []);\n const rem5 = p5h ? remaining(p5h).toFixed(0) : \"?\";\n const rem7 = p7d ? remaining(p7d).toFixed(0) : \"?\";\n const r5 = p5h ? (p5h.resets_in_sec < 0 ? \"just reset\" : `resets in ${Math.round(p5h.resets_in_sec / 60)}m`) : \"\";\n const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : \"\";\n console.log(`${p.name.padEnd(8)} 5h: ${rem5.padStart(3)}% remaining (${r5}) 7d: ${rem7.padStart(3)}% remaining (${r7})`);\n }\n for (const p of untrackedProviders) {\n console.log(`${p.name.padEnd(8)} (untracked — always available)`);\n }\n\n console.log(`\\nClaude burnable — 5h: ${burnable5h.toFixed(1)}% 7d: ${burnable7d.toFixed(1)}% effective: ${burnable.toFixed(1)}%`);\n console.log(`Quota tier: ${tier.tier.toUpperCase()} — ${tier.label}`);\n if (resetAt) console.log(`Next reset: ${resetAt}`);\n console.log();\n\n const proceeding = projects.filter((p) => p.decision === \"proceed\");\n const skipped = projects.filter((p) => p.decision === \"skip\");\n\n if (proceeding.length === 0) {\n console.log(\"No projects eligible to run.\");\n } else {\n console.log(\"Eligible projects:\");\n for (const p of proceeding) {\n console.log(` ✓ ${p.project} (${p.priority}) — model: ${p.implementationModel}`);\n }\n }\n\n if (skipped.length > 0) {\n console.log(\"\\nSkipped:\");\n for (const p of skipped) {\n console.log(` ✗ ${p.project} (${p.priority}) — ${p.reason}`);\n }\n }\n\n console.log(\"\");\n}\n\nmain();\n","structuredPatch":[{"oldStart":215,"oldLines":8,"newStart":215,"newLines":21,"lines":[" const r7 = p7d ? `resets in ${Math.round(p7d.resets_in_sec / 3600)}h` : \"\";"," console.log(`${p.name.padEnd(8)} 5h: ${rem5.padStart(3)}% remaining (${r5}) 7d: ${rem7.padStart(3)}% remaining (${r7})`);"," }","- for (const p of untrackedProviders) {","- console.log(`${p.name.padEnd(8)} (untracked — always available)`);","+ for (const p of config.untracked_providers ?? []) {","+ const mr = p.manual_reading;","+ if (mr) {","+ const rem5 = 100 - (mr[\"5h_used_pct\"] ?? 0);","+ const resets5 = mr[\"5h_resets_at\"] ? new Date(mr[\"5h_resets_at\"]) : null;","+ const resetsWeekly = mr[\"7d_resets_at\"] ? new Date(mr[\"7d_resets_at\"]) : null;","+ const now = Date.now();","+ const r5 = resets5 ? (resets5 < now ? \"already reset\" : `resets in ${Math.round((resets5 - now) / 60000)}m`) : \"\";","+ const r7 = resetsWeekly ? (resetsWeekly < now ? \"weekly already reset\" : `weekly resets in ${Math.round((resetsWeekly - now) / 60000)}m`) : \"\";","+ const staleMins = mr.updated_at ? Math.round((now - new Date(mr.updated_at)) / 60000) : null;","+ const staleNote = staleMins !== null ? ` [manual reading ${staleMins}m ago]` : \"\";","+ console.log(`${p.name.padEnd(8)} 5h: ${String(rem5).padStart(3)}% remaining (${r5}) ${r7}${staleNote}`);","+ } else {","+ console.log(`${p.name.padEnd(8)} (untracked — always available)`);","+ }"," }"," "," console.log(`\\nClaude burnable — 5h: ${burnable5h.toFixed(1)}% 7d: ${burnable7d.toFixed(1)}% effective: ${burnable.toFixed(1)}%`);"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"12bbdcfe-e751-4848-8927-eaca8b879aa4","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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{"type":"ai-title","aiTitle":"Check project status and verify fixes","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"c050ad34-01ee-4b3c-98d7-2cf09ea74b8c","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011Ccnuo6BWtaiykvtUe4FDm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WwkaLYSrJMUsSqTwpJR2Zd","name":"Bash","input":{"command":"node /workspace/agent/autopilot.mjs 2>&1 | grep -v \"Warning:\"","description":"Test autopilot with Gemini manual reading"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":624,"cache_read_input_tokens":79824,"output_tokens":101,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":624},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":101,"cache_read_input_tokens":79824,"cache_creation_input_tokens":624,"cache_creation":{"ephemeral_5m_input_tokens":624,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Ccnuo43mys2t5DwTKUuY7","type":"assistant","uuid":"24208190-20f3-4603-b622-9544eb4bdb54","timestamp":"2026-07-07T15:11:08.621Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"24208190-20f3-4603-b622-9544eb4bdb54","isSidechain":false,"promptId":"931b3869-7867-4522-9687-39e0c40a95c8","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WwkaLYSrJMUsSqTwpJR2Zd","type":"tool_result","content":"(Use `node --trace-warnings ...` to show where the warning was created)\n\n=== Portfolio Autopilot — 2026-07-07T15:11:09.812Z ===\n\nClaude 5h: 100% remaining (resets in 279m) 7d: 87% remaining (resets in 102h)\nCodex 5h: 100% remaining (resets in 300m) 7d: 72% remaining (resets in 145h)\nGemini 5h: 98% remaining (resets in 209m) weekly resets in 269m [manual reading 1m ago]\nLM Studio (untracked — always available)\n\nClaude burnable — 5h: 76.8% 7d: 77.9% effective: 76.8%\nQuota tier: HIGH — P1+P2+P3 — Claude Sonnet\nNext reset: 2026-07-07T19:49:59.812Z\n\nEligible projects:\n ✓ StageHand (P1) — model: claude-sonnet\n ✓ nanoclaw (P1) — model: claude-sonnet\n ✓ AgenticLever (P2) — model: claude-sonnet\n ✓ RoadSense (P2) — model: claude-sonnet\n ✓ qip-qien (P2) — model: claude-sonnet\n ✓ congressional-trading (P3) — model: claude-sonnet\n ✓ TradingBot25 (P3) — model: claude-sonnet","is_error":false}]},"uuid":"aefdc95d-91c0-4ba2-9f5d-250ed721b208","timestamp":"2026-07-07T15:11:09.828Z","toolUseResult":{"stdout":"(Use `node --trace-warnings ...` to show where the warning was created)\n\n=== Portfolio Autopilot — 2026-07-07T15:11:09.812Z ===\n\nClaude 5h: 100% remaining (resets in 279m) 7d: 87% remaining (resets in 102h)\nCodex 5h: 100% remaining (resets in 300m) 7d: 72% remaining (resets in 145h)\nGemini 5h: 98% remaining (resets in 209m) weekly resets in 269m [manual reading 1m ago]\nLM Studio (untracked — always available)\n\nClaude burnable — 5h: 76.8% 7d: 77.9% effective: 76.8%\nQuota tier: HIGH — P1+P2+P3 — Claude Sonnet\nNext reset: 2026-07-07T19:49:59.812Z\n\nEligible projects:\n ✓ StageHand (P1) — model: claude-sonnet\n ✓ nanoclaw (P1) — model: claude-sonnet\n ✓ AgenticLever (P2) — model: claude-sonnet\n ✓ RoadSense (P2) — model: claude-sonnet\n ✓ qip-qien (P2) — model: claude-sonnet\n ✓ congressional-trading (P3) — model: claude-sonnet\n ✓ TradingBot25 (P3) — model: claude-sonnet","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"24208190-20f3-4603-b622-9544eb4bdb54","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"aefdc95d-91c0-4ba2-9f5d-250ed721b208","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_011CcnuoMNKhqJQu3nNGvw8D","type":"message","role":"assistant","content":[{"type":"text","text":"Updated. Gemini now shows actual readings in the routing output:\n\n```\nGemini 5h: 98% remaining (resets in ~3.5h) weekly resets in ~4.5h\n```\n\nAnd the broader picture right now is almost comically good — all three subscriptions are essentially full, with Gemini getting a complete weekly reset this afternoon:\n\n```\nClaude 5h: 100% 7d: 87%\nCodex 5h: 100% 7d: 72%\nGemini 5h: 98% 7d: resets ~2:40 PM\n```\n\nThis is the best possible day to run Fable. You'll want to kick it off on qip-qien (Fable's own backlog) before 2:40 PM so it's consuming the old weekly quota and your fresh weekly starts clean.\n\nGoing forward: whenever you check Gemini usage, just tell me the numbers and I'll update the config. The staleness timestamp is tracked so we know how fresh the reading is."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":501,"cache_read_input_tokens":80448,"output_tokens":256,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":501},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":256,"cache_read_input_tokens":80448,"cache_creation_input_tokens":501,"cache_creation":{"ephemeral_5m_input_tokens":501,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CcnuoLmc3KPCZRMrmbfh4","type":"assistant","uuid":"3e5eba66-89a0-4d17-af79-9378b1f55a0d","timestamp":"2026-07-07T15:11:16.986Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T15:15:26.097Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\n1. i think a less smart model could likely do this. 2. good call will figure out how to correctly prompt that 3. should we have Fable write the spec? what's the prompt we want to give it to get started on that? 4. congressional-trading has no tests, that sounds wrong 5. how do we need to extend those ntfy notifications, i thought that was done?"}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T15:15:26.098Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"3e5eba66-89a0-4d17-af79-9378b1f55a0d","isSidechain":false,"promptId":"1af4b4ab-3649-412e-b0a2-63bbe0a20f3f","type":"user","message":{"role":"user","content":"\n1. i think a less smart model could likely do this. 2. good call will figure out how to correctly prompt that 3. should we have Fable write the spec? what's the prompt we want to give it to get started on that? 4. congressional-trading has no tests, that sounds wrong 5. how do we need to extend those ntfy notifications, i thought that was done?"},"uuid":"fcebb3f6-ef4e-4e5f-8e9b-9932a2148e48","timestamp":"2026-07-07T15:15:26.103Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"fcebb3f6-ef4e-4e5f-8e9b-9932a2148e48","isSidechain":false,"type":"assistant","uuid":"ffdc82e6-f372-486d-b19e-9d883125bef4","timestamp":"2026-07-07T15:15:26.410Z","message":{"id":"f8dad718-63a5-4aac-a781-f923ead09349","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T15:15:26.418Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T15:15:26.418Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"ffdc82e6-f372-486d-b19e-9d883125bef4","isSidechain":false,"promptId":"27fb1656-dac9-4843-a786-9e1bc704a6b7","type":"user","message":{"role":"user","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."},"uuid":"3ce3c6fc-ad0a-4d43-9bae-e3fef92e4abd","timestamp":"2026-07-07T15:15:26.423Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"3ce3c6fc-ad0a-4d43-9bae-e3fef92e4abd","isSidechain":false,"type":"assistant","uuid":"34e6329b-1f54-4ea6-9491-59b58f333bb8","timestamp":"2026-07-07T15:15:26.712Z","message":{"id":"c67e0828-d0a4-4f3c-a9d4-4ac8db8e2ed6","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T15:28:22.796Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\noh gemini cli wasn't installed before, it's now installed and signed in via google SSO, check again to see if you can get usage data yourself"}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T15:28:22.796Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"34e6329b-1f54-4ea6-9491-59b58f333bb8","isSidechain":false,"promptId":"386979ca-c659-42c2-bc94-c197175890f7","type":"user","message":{"role":"user","content":"\noh gemini cli wasn't installed before, it's now installed and signed in via google SSO, check again to see if you can get usage data yourself"},"uuid":"3e42d4fc-c5a3-4f43-9092-f4a463e0f6c8","timestamp":"2026-07-07T15:28:22.804Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"3e42d4fc-c5a3-4f43-9092-f4a463e0f6c8","isSidechain":false,"type":"assistant","uuid":"8c87f7e7-6486-48a7-bda4-398a9314a2e6","timestamp":"2026-07-07T15:28:23.468Z","message":{"id":"2441b97a-9e5e-47d2-9e04-1a8c4e8ba181","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T15:28:23.474Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."}
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{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T15:30:01.437Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\nScript output:\n{\n \"burnable_pct\": 58.3,\n \"tier\": \"high\",\n \"implementationModel\": \"claude-sonnet\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"AgenticLever\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"RoadSense\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"qip-qien\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"congressional-trading\",\n \"priority\": \"P3\"\n },\n {\n \"project\": \"TradingBot25\",\n \"priority\": \"P3\"\n }\n ],\n \"next_reset_at\": \"2026-07-07T19:49:59.425Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"tracked\": true,\n \"5h_remaining_pct\": 80,\n \"7d_remaining_pct\": 86\n },\n {\n \"name\": \"Codex\",\n \"tracked\": true,\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 72\n },\n {\n \"name\": \"Gemini\",\n \"tracked\": false,\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n },\n {\n \"name\": \"LM Studio\",\n \"tracked\": false,\n \"note\": \"local model server — always-available when running at lm_studio_url\"\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 80,\n \"resets_in_sec\": 15598\n },\n \"7d\": {\n \"remaining_pct\": 86,\n \"resets_in_sec\": 365398\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n - Update the project card's `Next action` and append a dated line to its `Notes`.\n - Update the `Last activity` date in `BOARD.md`.\n - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n - `recurrence`: omit (one-shot)\n - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T15:30:01.437Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"2dda17da-453a-4ff0-a29c-0c68ec69188b","isSidechain":false,"promptId":"6de4f6a7-ccb6-4c29-8f6a-0be30400e40d","type":"user","message":{"role":"user","content":"\nScript output:\n{\n \"burnable_pct\": 58.3,\n \"tier\": \"high\",\n \"implementationModel\": \"claude-sonnet\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"AgenticLever\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"RoadSense\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"qip-qien\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"congressional-trading\",\n \"priority\": \"P3\"\n },\n {\n \"project\": \"TradingBot25\",\n \"priority\": \"P3\"\n }\n ],\n \"next_reset_at\": \"2026-07-07T19:49:59.425Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"tracked\": true,\n \"5h_remaining_pct\": 80,\n \"7d_remaining_pct\": 86\n },\n {\n \"name\": \"Codex\",\n \"tracked\": true,\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 72\n },\n {\n \"name\": \"Gemini\",\n \"tracked\": false,\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n },\n {\n \"name\": \"LM Studio\",\n \"tracked\": false,\n \"note\": \"local model server — always-available when running at lm_studio_url\"\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 80,\n \"resets_in_sec\": 15598\n },\n \"7d\": {\n \"remaining_pct\": 86,\n \"resets_in_sec\": 365398\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n - Update the project card's `Next action` and append a dated line to its `Notes`.\n - Update the `Last activity` date in `BOARD.md`.\n - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n - `recurrence`: omit (one-shot)\n - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there."},"uuid":"5a64789c-9763-4a74-aa9f-0dc0bd8ec9be","timestamp":"2026-07-07T15:30:01.440Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"5a64789c-9763-4a74-aa9f-0dc0bd8ec9be","isSidechain":false,"type":"assistant","uuid":"7b280c02-6600-47ae-8170-e6bca13f2e93","timestamp":"2026-07-07T15:30:01.669Z","message":{"id":"569435a7-0a65-4301-8e90-e24728194d5e","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T15:30:01.677Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T15:30:01.677Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"7b280c02-6600-47ae-8170-e6bca13f2e93","isSidechain":false,"promptId":"c15e5c16-6491-4ddd-ad5d-95c2e5bcbf59","type":"user","message":{"role":"user","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."},"uuid":"92cea285-73d9-4655-b851-9c1a24aeb62d","timestamp":"2026-07-07T15:30:01.681Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"92cea285-73d9-4655-b851-9c1a24aeb62d","isSidechain":false,"type":"assistant","uuid":"8781a727-677c-4b88-af89-764f94f5615a","timestamp":"2026-07-07T15:30:02.112Z","message":{"id":"9bb607e9-c320-4f16-8273-7410bda9d9a5","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T15:41:23.947Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\noh it looks like the gemini CLI is deprecated and the antigravity agy CLI is what should be used. I've now installed this and authenticated."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T15:41:23.947Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"8781a727-677c-4b88-af89-764f94f5615a","isSidechain":false,"promptId":"7f5c7e37-5869-4f63-a22d-4e4f750a4bb1","type":"user","message":{"role":"user","content":"\noh it looks like the gemini CLI is deprecated and the antigravity agy CLI is what should be used. I've now installed this and authenticated."},"uuid":"19f278d8-3bc6-4a8a-b586-ef483bc2fdcd","timestamp":"2026-07-07T15:41:23.952Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"19f278d8-3bc6-4a8a-b586-ef483bc2fdcd","isSidechain":false,"attachment":{"type":"todo_reminder","content":[],"itemCount":0},"type":"attachment","uuid":"43909dad-2eaf-424c-90c6-65cb8eb952b3","timestamp":"2026-07-07T15:41:23.951Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"43909dad-2eaf-424c-90c6-65cb8eb952b3","isSidechain":false,"type":"assistant","uuid":"f640a02d-7c3c-43da-8057-e1474f87cb43","timestamp":"2026-07-07T15:41:24.447Z","message":{"id":"29484cbc-0182-455e-ae1f-d1e5bb366808","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T15:41:24.452Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T15:41:24.452Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"f640a02d-7c3c-43da-8057-e1474f87cb43","isSidechain":false,"promptId":"d2532f12-62ff-4e6b-8a98-90b88b1c5ad8","type":"user","message":{"role":"user","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."},"uuid":"64be2c86-a48d-4a1f-ba78-66823c6b2655","timestamp":"2026-07-07T15:41:24.455Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"last-prompt","leafUuid":"64be2c86-a48d-4a1f-ba78-66823c6b2655","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"type":"ai-title","aiTitle":"Check project status and verify fixes","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"64be2c86-a48d-4a1f-ba78-66823c6b2655","isSidechain":false,"type":"assistant","uuid":"0dc515ec-4254-4482-864f-e7bb1971dfff","timestamp":"2026-07-07T15:41:24.744Z","message":{"id":"ac3f5cce-58de-4688-8704-76849cf54816","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T16:00:01.019Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\nScript output:\n{\n \"burnable_pct\": 8.8,\n \"tier\": \"low\",\n \"implementationModel\": \"gemini-or-haiku\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n }\n ],\n \"next_reset_at\": \"2026-07-07T19:50:00.009Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"tracked\": true,\n \"5h_remaining_pct\": 28,\n \"7d_remaining_pct\": 82\n },\n {\n \"name\": \"Codex\",\n \"tracked\": true,\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 72\n },\n {\n \"name\": \"Gemini\",\n \"tracked\": false,\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n },\n {\n \"name\": \"LM Studio\",\n \"tracked\": false,\n \"note\": \"local model server — always-available when running at lm_studio_url\"\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 28,\n \"resets_in_sec\": 13799\n },\n \"7d\": {\n \"remaining_pct\": 82,\n \"resets_in_sec\": 363599\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n - Update the project card's `Next action` and append a dated line to its `Notes`.\n - Update the `Last activity` date in `BOARD.md`.\n - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n - `recurrence`: omit (one-shot)\n - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T16:00:01.019Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"0dc515ec-4254-4482-864f-e7bb1971dfff","isSidechain":false,"promptId":"b5e2d6a7-05bb-4288-bfb8-d0ca64d7e884","type":"user","message":{"role":"user","content":"\nScript output:\n{\n \"burnable_pct\": 8.8,\n \"tier\": \"low\",\n \"implementationModel\": \"gemini-or-haiku\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n }\n ],\n \"next_reset_at\": \"2026-07-07T19:50:00.009Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"tracked\": true,\n \"5h_remaining_pct\": 28,\n \"7d_remaining_pct\": 82\n },\n {\n \"name\": \"Codex\",\n \"tracked\": true,\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 72\n },\n {\n \"name\": \"Gemini\",\n \"tracked\": false,\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n },\n {\n \"name\": \"LM Studio\",\n \"tracked\": false,\n \"note\": \"local model server — always-available when running at lm_studio_url\"\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 28,\n \"resets_in_sec\": 13799\n },\n \"7d\": {\n \"remaining_pct\": 82,\n \"resets_in_sec\": 363599\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n - Update the project card's `Next action` and append a dated line to its `Notes`.\n - Update the `Last activity` date in `BOARD.md`.\n - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n - `recurrence`: omit (one-shot)\n - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there."},"uuid":"875a8773-8785-47f8-8936-e6304488c8da","timestamp":"2026-07-07T16:00:01.026Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"875a8773-8785-47f8-8936-e6304488c8da","isSidechain":false,"type":"assistant","uuid":"ddfa3872-6733-4dc6-a786-730412dbcac0","timestamp":"2026-07-07T16:00:01.493Z","message":{"id":"aa8e0c76-0b7a-4b0a-b6f3-44bc2d944bc4","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T16:00:01.500Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T16:00:01.500Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"ddfa3872-6733-4dc6-a786-730412dbcac0","isSidechain":false,"promptId":"d5969fe9-3537-4109-a1ff-8e6aadfc83cc","type":"user","message":{"role":"user","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."},"uuid":"d82d05f8-42fb-46d5-ac94-684b57af9d5e","timestamp":"2026-07-07T16:00:01.503Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"d82d05f8-42fb-46d5-ac94-684b57af9d5e","isSidechain":false,"type":"assistant","uuid":"8c19cccb-c83a-4250-bedb-39036d85f036","timestamp":"2026-07-07T16:00:01.851Z","message":{"id":"a2c8a142-913e-4a75-a850-32e0b97eb551","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T16:30:01.303Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\nScript output:\n{\n \"burnable_pct\": 11.3,\n \"tier\": \"low\",\n \"implementationModel\": \"gemini-or-haiku\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n }\n ],\n \"next_reset_at\": \"2026-07-07T19:49:59.287Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"tracked\": true,\n \"5h_remaining_pct\": 28,\n \"7d_remaining_pct\": 82\n },\n {\n \"name\": \"Codex\",\n \"tracked\": true,\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 72\n },\n {\n \"name\": \"Gemini\",\n \"tracked\": false,\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n },\n {\n \"name\": \"LM Studio\",\n \"tracked\": false,\n \"note\": \"local model server — always-available when running at lm_studio_url\"\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 28,\n \"resets_in_sec\": 11998\n },\n \"7d\": {\n \"remaining_pct\": 82,\n \"resets_in_sec\": 361798\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n - Update the project card's `Next action` and append a dated line to its `Notes`.\n - Update the `Last activity` date in `BOARD.md`.\n - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n - `recurrence`: omit (one-shot)\n - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T16:30:01.304Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"8c19cccb-c83a-4250-bedb-39036d85f036","isSidechain":false,"promptId":"5e71f175-e8e9-4414-bfda-b6d474ce8186","type":"user","message":{"role":"user","content":"\nScript output:\n{\n \"burnable_pct\": 11.3,\n \"tier\": \"low\",\n \"implementationModel\": \"gemini-or-haiku\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n }\n ],\n \"next_reset_at\": \"2026-07-07T19:49:59.287Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"tracked\": true,\n \"5h_remaining_pct\": 28,\n \"7d_remaining_pct\": 82\n },\n {\n \"name\": \"Codex\",\n \"tracked\": true,\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 72\n },\n {\n \"name\": \"Gemini\",\n \"tracked\": false,\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n },\n {\n \"name\": \"LM Studio\",\n \"tracked\": false,\n \"note\": \"local model server — always-available when running at lm_studio_url\"\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 28,\n \"resets_in_sec\": 11998\n },\n \"7d\": {\n \"remaining_pct\": 82,\n \"resets_in_sec\": 361798\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n - Update the project card's `Next action` and append a dated line to its `Notes`.\n - Update the `Last activity` date in `BOARD.md`.\n - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n - `recurrence`: omit (one-shot)\n - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there."},"uuid":"46549931-64db-41ba-8930-33315ac5cde1","timestamp":"2026-07-07T16:30:01.320Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"46549931-64db-41ba-8930-33315ac5cde1","isSidechain":false,"type":"assistant","uuid":"28070e24-0c64-456e-984b-4fe2c8b33e0c","timestamp":"2026-07-07T16:30:01.769Z","message":{"id":"5f0733ff-1694-49c5-af4d-346929af35e1","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T16:30:01.790Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T16:30:01.790Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"28070e24-0c64-456e-984b-4fe2c8b33e0c","isSidechain":false,"promptId":"62b02ee3-e98e-4b2a-95f1-7344632e7730","type":"user","message":{"role":"user","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."},"uuid":"6992642c-9296-4395-9653-559c88965086","timestamp":"2026-07-07T16:30:01.794Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"6992642c-9296-4395-9653-559c88965086","isSidechain":false,"type":"assistant","uuid":"36de7521-de10-4b19-860d-09fbed8a2665","timestamp":"2026-07-07T16:30:02.145Z","message":{"id":"bd338845-88af-40b3-bd8e-bd3a6e2dcf2c","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T17:00:09.812Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\nScript output:\n{\n \"newPosts\": [\n {\n \"slug\": \"claude-model-and-effort-level-in-claude-code\",\n \"url\": \"https://claude.com/blog/claude-model-and-effort-level-in-claude-code\"\n },\n {\n \"slug\": \"cowork-web-mobile\",\n \"url\": \"https://claude.com/blog/cowork-web-mobile\"\n },\n {\n \"slug\": \"how-people-are-using-claude-cowork\",\n \"url\": \"https://claude.com/blog/how-people-are-using-claude-cowork\"\n }\n ]\n}\n\nInstructions:\nNew posts were detected on the Claude blog. The script output is in `data.newPosts` — an array of {slug, url} objects.\n\nFor each new post:\n1. Evaluate relevance — prioritize: Claude Code features, agent SDKs, workflows, plugins, founder/engineering org content, security. Skip: customer case studies for specific industries (finance team, sales leader), compliance/partner announcements unless they introduce new capabilities.\n2. For relevant posts: fetch the content using WebFetch and create a wiki source page in /workspace/extra/second-brain/wiki/sources/ following the naming pattern \"Claude Blog - [Short Title].md\". Also create a concept page in /workspace/extra/second-brain/wiki/concepts/ if the post introduces a significant new concept.\n3. Update existing wiki tool pages if a post adds capabilities to an already-documented tool (e.g., Managed Agents updates).\n4. Update /workspace/extra/second-brain/wiki/Home.md — add entries to the Sources section for new source pages and to Concepts for new concept pages.\n5. Update /workspace/extra/second-brain/wiki/Wiki Ingest Log.md with a dated entry noting what was ingested.\n6. Update CLAUDE.local.md if any new monitoring tasks or sources should be noted there.\n7. Message James (telegram-mg-17796) with a concise bullet list of what was new and what was ingested. If nothing was relevant, send a brief note saying the blog was checked and nothing worth ingesting was found."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T17:00:09.812Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"36de7521-de10-4b19-860d-09fbed8a2665","isSidechain":false,"promptId":"0bcb1dcc-f954-400d-b0d7-db194e398747","type":"user","message":{"role":"user","content":"\nScript output:\n{\n \"newPosts\": [\n {\n \"slug\": \"claude-model-and-effort-level-in-claude-code\",\n \"url\": \"https://claude.com/blog/claude-model-and-effort-level-in-claude-code\"\n },\n {\n \"slug\": \"cowork-web-mobile\",\n \"url\": \"https://claude.com/blog/cowork-web-mobile\"\n },\n {\n \"slug\": \"how-people-are-using-claude-cowork\",\n \"url\": \"https://claude.com/blog/how-people-are-using-claude-cowork\"\n }\n ]\n}\n\nInstructions:\nNew posts were detected on the Claude blog. The script output is in `data.newPosts` — an array of {slug, url} objects.\n\nFor each new post:\n1. Evaluate relevance — prioritize: Claude Code features, agent SDKs, workflows, plugins, founder/engineering org content, security. Skip: customer case studies for specific industries (finance team, sales leader), compliance/partner announcements unless they introduce new capabilities.\n2. For relevant posts: fetch the content using WebFetch and create a wiki source page in /workspace/extra/second-brain/wiki/sources/ following the naming pattern \"Claude Blog - [Short Title].md\". Also create a concept page in /workspace/extra/second-brain/wiki/concepts/ if the post introduces a significant new concept.\n3. Update existing wiki tool pages if a post adds capabilities to an already-documented tool (e.g., Managed Agents updates).\n4. Update /workspace/extra/second-brain/wiki/Home.md — add entries to the Sources section for new source pages and to Concepts for new concept pages.\n5. Update /workspace/extra/second-brain/wiki/Wiki Ingest Log.md with a dated entry noting what was ingested.\n6. Update CLAUDE.local.md if any new monitoring tasks or sources should be noted there.\n7. Message James (telegram-mg-17796) with a concise bullet list of what was new and what was ingested. If nothing was relevant, send a brief note saying the blog was checked and nothing worth ingesting was found."},"uuid":"475bdab4-1971-4ef5-b821-d7b1ac8ac2f0","timestamp":"2026-07-07T17:00:09.822Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"475bdab4-1971-4ef5-b821-d7b1ac8ac2f0","isSidechain":false,"type":"assistant","uuid":"a82969a8-d310-43cb-87fd-d518e46e2404","timestamp":"2026-07-07T17:00:10.397Z","message":{"id":"5d042e37-5369-48d9-9b28-a98515bee6d8","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T17:00:10.405Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T17:00:10.405Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"a82969a8-d310-43cb-87fd-d518e46e2404","isSidechain":false,"promptId":"5cb19bad-d4a6-4c87-8c47-25cd3eeab3ab","type":"user","message":{"role":"user","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."},"uuid":"baaa9fd9-2520-4e6c-9111-dad6951df02c","timestamp":"2026-07-07T17:00:10.409Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"last-prompt","leafUuid":"baaa9fd9-2520-4e6c-9111-dad6951df02c","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"type":"ai-title","aiTitle":"Check project status and verify fixes","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"baaa9fd9-2520-4e6c-9111-dad6951df02c","isSidechain":false,"type":"assistant","uuid":"058a6acc-db4f-4998-804c-ae911d84f275","timestamp":"2026-07-07T17:00:10.661Z","message":{"id":"6cd2164e-58b9-498a-ad0f-e372fcd3eead","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T19:44:05.840Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\nare you able to use antigravity right now as a fallback? if not what about LM Studio as a final fallback?"}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T19:44:05.841Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"058a6acc-db4f-4998-804c-ae911d84f275","isSidechain":false,"promptId":"cd204d90-d66a-4b74-a5dc-bce9831769c4","type":"user","message":{"role":"user","content":"\nare you able to use antigravity right now as a fallback? if not what about LM Studio as a final fallback?"},"uuid":"33a24dc9-df0b-42ee-8aea-f506fafb74b3","timestamp":"2026-07-07T19:44:05.861Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"33a24dc9-df0b-42ee-8aea-f506fafb74b3","isSidechain":false,"type":"assistant","uuid":"6755e056-0e47-4469-b541-f2283f43c04a","timestamp":"2026-07-07T19:44:06.313Z","message":{"id":"f82c840c-a616-45e2-95a1-762b8e12ce2a","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T19:44:06.322Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T19:44:06.322Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"6755e056-0e47-4469-b541-f2283f43c04a","isSidechain":false,"promptId":"c7178358-2b3d-4549-a671-a4cac24240b8","type":"user","message":{"role":"user","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."},"uuid":"f66c00fd-8629-47dc-92ec-8da18abbe678","timestamp":"2026-07-07T19:44:06.325Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"f66c00fd-8629-47dc-92ec-8da18abbe678","isSidechain":false,"type":"assistant","uuid":"9c66e2d2-c9b1-4bd8-ba65-0bb802120bbe","timestamp":"2026-07-07T19:44:06.636Z","message":{"id":"a257fb31-bef0-448a-ba22-2d344ebdebbf","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T19:50:01.143Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\nScript output:\n{\n \"burnable_pct\": 70.3,\n \"tier\": \"high\",\n \"implementationModel\": \"claude-sonnet\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"AgenticLever\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"RoadSense\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"qip-qien\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"congressional-trading\",\n \"priority\": \"P3\"\n },\n {\n \"project\": \"TradingBot25\",\n \"priority\": \"P3\"\n }\n ],\n \"next_reset_at\": \"2026-07-11T20:59:59.130Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"tracked\": true,\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 79\n },\n {\n \"name\": \"Codex\",\n \"tracked\": true,\n \"5h_remaining_pct\": 0,\n \"7d_remaining_pct\": 49\n },\n {\n \"name\": \"Gemini\",\n \"tracked\": false,\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n },\n {\n \"name\": \"LM Studio\",\n \"tracked\": false,\n \"note\": \"local model server — always-available when running at lm_studio_url\"\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 100,\n \"resets_in_sec\": -1\n },\n \"7d\": {\n \"remaining_pct\": 79,\n \"resets_in_sec\": 349798\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T19:50:01.143Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"9c66e2d2-c9b1-4bd8-ba65-0bb802120bbe","isSidechain":false,"promptId":"ddf09b06-feda-4239-a0f8-a0569ce6f43e","type":"user","message":{"role":"user","content":"\nScript output:\n{\n \"burnable_pct\": 70.3,\n \"tier\": \"high\",\n \"implementationModel\": \"claude-sonnet\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"AgenticLever\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"RoadSense\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"qip-qien\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"congressional-trading\",\n \"priority\": \"P3\"\n },\n {\n \"project\": \"TradingBot25\",\n \"priority\": \"P3\"\n }\n ],\n \"next_reset_at\": \"2026-07-11T20:59:59.130Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"tracked\": true,\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 79\n },\n {\n \"name\": \"Codex\",\n \"tracked\": true,\n \"5h_remaining_pct\": 0,\n \"7d_remaining_pct\": 49\n },\n {\n \"name\": \"Gemini\",\n \"tracked\": false,\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n },\n {\n \"name\": \"LM Studio\",\n \"tracked\": false,\n \"note\": \"local model server — always-available when running at lm_studio_url\"\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 100,\n \"resets_in_sec\": -1\n },\n \"7d\": {\n \"remaining_pct\": 79,\n \"resets_in_sec\": 349798\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs."},"uuid":"960a95f2-18c4-409d-b6b4-2ee3c1e34a45","timestamp":"2026-07-07T19:50:01.148Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"960a95f2-18c4-409d-b6b4-2ee3c1e34a45","isSidechain":false,"attachment":{"type":"todo_reminder","content":[],"itemCount":0},"type":"attachment","uuid":"7d1edbc2-d3f5-424d-94f5-c3e28448521d","timestamp":"2026-07-07T19:50:01.148Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"7d1edbc2-d3f5-424d-94f5-c3e28448521d","isSidechain":false,"type":"assistant","uuid":"762354f2-86af-4d3e-a859-1bc52417e36d","timestamp":"2026-07-07T19:50:01.621Z","message":{"id":"596c4d12-d070-46ce-944e-f050f1d2706c","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T19:50:01.630Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T19:50:01.631Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"762354f2-86af-4d3e-a859-1bc52417e36d","isSidechain":false,"promptId":"3837132a-0172-4a25-986f-8026e18f4d96","type":"user","message":{"role":"user","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."},"uuid":"23139394-de1a-43a4-be3b-375880e4c376","timestamp":"2026-07-07T19:50:01.634Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"23139394-de1a-43a4-be3b-375880e4c376","isSidechain":false,"type":"assistant","uuid":"c8f1d55d-1a69-4f5f-8afb-dc967c66fd18","timestamp":"2026-07-07T19:50:01.901Z","message":{"id":"1f41162d-bd40-41fd-bd75-484ad9336ae2","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T20:00:01.093Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\nScript output:\n{\n \"burnable_pct\": 70.3,\n \"tier\": \"high\",\n \"implementationModel\": \"claude-sonnet\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"AgenticLever\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"RoadSense\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"qip-qien\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"congressional-trading\",\n \"priority\": \"P3\"\n },\n {\n \"project\": \"TradingBot25\",\n \"priority\": \"P3\"\n }\n ],\n \"next_reset_at\": \"2026-07-11T20:59:59.077Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"tracked\": true,\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 79\n },\n {\n \"name\": \"Codex\",\n \"tracked\": true,\n \"5h_remaining_pct\": 0,\n \"7d_remaining_pct\": 49\n },\n {\n \"name\": \"Gemini\",\n \"tracked\": false,\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n },\n {\n \"name\": \"LM Studio\",\n \"tracked\": false,\n \"note\": \"local model server — always-available when running at lm_studio_url\"\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 100,\n \"resets_in_sec\": -1\n },\n \"7d\": {\n \"remaining_pct\": 79,\n \"resets_in_sec\": 349198\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n - Update the project card's `Next action` and append a dated line to its `Notes`.\n - Update the `Last activity` date in `BOARD.md`.\n - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n - `recurrence`: omit (one-shot)\n - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T20:00:01.094Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"c8f1d55d-1a69-4f5f-8afb-dc967c66fd18","isSidechain":false,"promptId":"1126052c-eae7-42c1-921b-f2d1e121578a","type":"user","message":{"role":"user","content":"\nScript output:\n{\n \"burnable_pct\": 70.3,\n \"tier\": \"high\",\n \"implementationModel\": \"claude-sonnet\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"AgenticLever\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"RoadSense\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"qip-qien\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"congressional-trading\",\n \"priority\": \"P3\"\n },\n {\n \"project\": \"TradingBot25\",\n \"priority\": \"P3\"\n }\n ],\n \"next_reset_at\": \"2026-07-11T20:59:59.077Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"tracked\": true,\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 79\n },\n {\n \"name\": \"Codex\",\n \"tracked\": true,\n \"5h_remaining_pct\": 0,\n \"7d_remaining_pct\": 49\n },\n {\n \"name\": \"Gemini\",\n \"tracked\": false,\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n },\n {\n \"name\": \"LM Studio\",\n \"tracked\": false,\n \"note\": \"local model server — always-available when running at lm_studio_url\"\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 100,\n \"resets_in_sec\": -1\n },\n \"7d\": {\n \"remaining_pct\": 79,\n \"resets_in_sec\": 349198\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n - Update the project card's `Next action` and append a dated line to its `Notes`.\n - Update the `Last activity` date in `BOARD.md`.\n - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n - `recurrence`: omit (one-shot)\n - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there."},"uuid":"6a384278-476c-4734-a79e-dc388b0b91bd","timestamp":"2026-07-07T20:00:01.103Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"6a384278-476c-4734-a79e-dc388b0b91bd","isSidechain":false,"type":"assistant","uuid":"dae6fe5d-924b-4744-80cf-685dacbecfb6","timestamp":"2026-07-07T20:00:01.735Z","message":{"id":"50ea2e85-acb1-4bfd-8ef1-39c3ec61b3d7","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T20:00:01.745Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T20:00:01.745Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"dae6fe5d-924b-4744-80cf-685dacbecfb6","isSidechain":false,"promptId":"5ea371dc-8ef7-49dd-a87d-2fd60bb51604","type":"user","message":{"role":"user","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."},"uuid":"b8e94249-1a6c-492d-b305-3f268188c787","timestamp":"2026-07-07T20:00:01.749Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"b8e94249-1a6c-492d-b305-3f268188c787","isSidechain":false,"type":"assistant","uuid":"8c30e773-3c85-4af4-ab56-07a14a87431a","timestamp":"2026-07-07T20:00:02.172Z","message":{"id":"e6342899-bbb6-4065-8195-c6d3dbdabdc5","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T20:00:34.772Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\nok are you there?"}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T20:00:34.772Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"8c30e773-3c85-4af4-ab56-07a14a87431a","isSidechain":false,"promptId":"4f8efc5b-942e-4eaf-8207-3412c2377320","type":"user","message":{"role":"user","content":"\nok are you there?"},"uuid":"a4dfb7b3-dc5c-4c3e-8762-07b784e787db","timestamp":"2026-07-07T20:00:34.786Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"a4dfb7b3-dc5c-4c3e-8762-07b784e787db","isSidechain":false,"type":"assistant","uuid":"e1029dfb-50d2-4d73-8988-d57dcfdec360","timestamp":"2026-07-07T20:00:35.533Z","message":{"id":"7b5393ec-2c3e-443e-9315-e036feea5bc3","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T20:00:35.542Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T20:00:35.542Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"e1029dfb-50d2-4d73-8988-d57dcfdec360","isSidechain":false,"promptId":"99ba7384-e88a-4fc0-b1bd-3639608b10db","type":"user","message":{"role":"user","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."},"uuid":"109713fc-4ae2-46b9-8ac2-58f0be0c6323","timestamp":"2026-07-07T20:00:35.546Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"109713fc-4ae2-46b9-8ac2-58f0be0c6323","isSidechain":false,"type":"assistant","uuid":"c3dcf33c-80e4-4051-9094-f022a08536c5","timestamp":"2026-07-07T20:00:36.188Z","message":{"id":"0f01918f-5e3f-4fb2-8dc4-6120add456f2","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T20:30:01.059Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\nScript output:\n{\n \"burnable_pct\": 70.4,\n \"tier\": \"high\",\n \"implementationModel\": \"claude-sonnet\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"AgenticLever\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"RoadSense\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"qip-qien\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"congressional-trading\",\n \"priority\": \"P3\"\n },\n {\n \"project\": \"TradingBot25\",\n \"priority\": \"P3\"\n }\n ],\n \"next_reset_at\": \"2026-07-11T21:00:00.043Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"tracked\": true,\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 79\n },\n {\n \"name\": \"Codex\",\n \"tracked\": true,\n \"5h_remaining_pct\": 0,\n \"7d_remaining_pct\": 49\n },\n {\n \"name\": \"Gemini\",\n \"tracked\": false,\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n },\n {\n \"name\": \"LM Studio\",\n \"tracked\": false,\n \"note\": \"local model server — always-available when running at lm_studio_url\"\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 100,\n \"resets_in_sec\": -1\n },\n \"7d\": {\n \"remaining_pct\": 79,\n \"resets_in_sec\": 347399\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n - Update the project card's `Next action` and append a dated line to its `Notes`.\n - Update the `Last activity` date in `BOARD.md`.\n - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n - `recurrence`: omit (one-shot)\n - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T20:30:01.059Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"c3dcf33c-80e4-4051-9094-f022a08536c5","isSidechain":false,"promptId":"fb2e08fa-16c4-4ca1-8275-a61ab715b35e","type":"user","message":{"role":"user","content":"\nScript output:\n{\n \"burnable_pct\": 70.4,\n \"tier\": \"high\",\n \"implementationModel\": \"claude-sonnet\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"AgenticLever\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"RoadSense\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"qip-qien\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"congressional-trading\",\n \"priority\": \"P3\"\n },\n {\n \"project\": \"TradingBot25\",\n \"priority\": \"P3\"\n }\n ],\n \"next_reset_at\": \"2026-07-11T21:00:00.043Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"tracked\": true,\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 79\n },\n {\n \"name\": \"Codex\",\n \"tracked\": true,\n \"5h_remaining_pct\": 0,\n \"7d_remaining_pct\": 49\n },\n {\n \"name\": \"Gemini\",\n \"tracked\": false,\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n },\n {\n \"name\": \"LM Studio\",\n \"tracked\": false,\n \"note\": \"local model server — always-available when running at lm_studio_url\"\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 100,\n \"resets_in_sec\": -1\n },\n \"7d\": {\n \"remaining_pct\": 79,\n \"resets_in_sec\": 347399\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n - Update the project card's `Next action` and append a dated line to its `Notes`.\n - Update the `Last activity` date in `BOARD.md`.\n - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n - `recurrence`: omit (one-shot)\n - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there."},"uuid":"f87d8d2f-6d2f-4450-8cab-54ad6d6909e4","timestamp":"2026-07-07T20:30:01.069Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"last-prompt","leafUuid":"f87d8d2f-6d2f-4450-8cab-54ad6d6909e4","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"type":"ai-title","aiTitle":"Check project status and verify fixes","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"f87d8d2f-6d2f-4450-8cab-54ad6d6909e4","isSidechain":false,"type":"assistant","uuid":"5c27c9df-44c0-4f3c-9833-82bef6063d2a","timestamp":"2026-07-07T20:30:01.623Z","message":{"id":"b35db604-0d2a-4b1a-a4b8-188229b2e2ee","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T20:30:01.630Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T20:30:01.630Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"5c27c9df-44c0-4f3c-9833-82bef6063d2a","isSidechain":false,"promptId":"cd4ae656-8ec3-4350-8a3a-84469ad3caa7","type":"user","message":{"role":"user","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."},"uuid":"2962c6d8-6da2-42c3-b2c9-02ad425d2889","timestamp":"2026-07-07T20:30:01.634Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"2962c6d8-6da2-42c3-b2c9-02ad425d2889","isSidechain":false,"type":"assistant","uuid":"4a05b975-08c7-4407-9887-d3c892e64148","timestamp":"2026-07-07T20:30:02.075Z","message":{"id":"e3c070c5-c5ef-4805-a16c-3805ee4e7135","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T21:00:03.537Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\nScript output:\n{\n \"burnable_pct\": 70.4,\n \"tier\": \"high\",\n \"implementationModel\": \"claude-sonnet\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"AgenticLever\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"RoadSense\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"qip-qien\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"congressional-trading\",\n \"priority\": \"P3\"\n },\n {\n \"project\": \"TradingBot25\",\n \"priority\": \"P3\"\n }\n ],\n \"next_reset_at\": \"2026-07-11T20:59:59.527Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"tracked\": true,\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 79\n },\n {\n \"name\": \"Codex\",\n \"tracked\": true,\n \"5h_remaining_pct\": 0,\n \"7d_remaining_pct\": 49\n },\n {\n \"name\": \"Gemini\",\n \"tracked\": false,\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n },\n {\n \"name\": \"LM Studio\",\n \"tracked\": false,\n \"note\": \"local model server — always-available when running at lm_studio_url\"\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 100,\n \"resets_in_sec\": -1\n },\n \"7d\": {\n \"remaining_pct\": 79,\n \"resets_in_sec\": 345596\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n - Update the project card's `Next action` and append a dated line to its `Notes`.\n - Update the `Last activity` date in `BOARD.md`.\n - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n - `recurrence`: omit (one-shot)\n - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T21:00:03.538Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"4a05b975-08c7-4407-9887-d3c892e64148","isSidechain":false,"promptId":"1ed656bb-1231-4b4b-82ea-e3432f54598b","type":"user","message":{"role":"user","content":"\nScript output:\n{\n \"burnable_pct\": 70.4,\n \"tier\": \"high\",\n \"implementationModel\": \"claude-sonnet\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"AgenticLever\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"RoadSense\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"qip-qien\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"congressional-trading\",\n \"priority\": \"P3\"\n },\n {\n \"project\": \"TradingBot25\",\n \"priority\": \"P3\"\n }\n ],\n \"next_reset_at\": \"2026-07-11T20:59:59.527Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"tracked\": true,\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 79\n },\n {\n \"name\": \"Codex\",\n \"tracked\": true,\n \"5h_remaining_pct\": 0,\n \"7d_remaining_pct\": 49\n },\n {\n \"name\": \"Gemini\",\n \"tracked\": false,\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n },\n {\n \"name\": \"LM Studio\",\n \"tracked\": false,\n \"note\": \"local model server — always-available when running at lm_studio_url\"\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 100,\n \"resets_in_sec\": -1\n },\n \"7d\": {\n \"remaining_pct\": 79,\n \"resets_in_sec\": 345596\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n - Update the project card's `Next action` and append a dated line to its `Notes`.\n - Update the `Last activity` date in `BOARD.md`.\n - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n - `recurrence`: omit (one-shot)\n - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there."},"uuid":"e8991e42-6d5f-405d-9545-d4c889405556","timestamp":"2026-07-07T21:00:03.545Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"e8991e42-6d5f-405d-9545-d4c889405556","isSidechain":false,"type":"assistant","uuid":"ef7120b7-599b-4fa7-9d4b-1778a4497798","timestamp":"2026-07-07T21:00:04.142Z","message":{"id":"388437a2-a53b-4157-bdb4-2c651005111a","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T21:00:04.148Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T21:00:04.148Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"ef7120b7-599b-4fa7-9d4b-1778a4497798","isSidechain":false,"promptId":"44242ea1-2ac0-4a25-b3b5-5ca014b9b9ea","type":"user","message":{"role":"user","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."},"uuid":"6819e42f-c347-4b06-895c-8dea712ce4a2","timestamp":"2026-07-07T21:00:04.151Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"6819e42f-c347-4b06-895c-8dea712ce4a2","isSidechain":false,"type":"assistant","uuid":"44bc791d-d7be-4afc-b690-b87c227edb39","timestamp":"2026-07-07T21:00:04.583Z","message":{"id":"5c04d78b-73d7-4ad7-afe0-d56f79c24d10","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T21:30:03.709Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\nScript output:\n{\n \"burnable_pct\": 70.5,\n \"tier\": \"high\",\n \"implementationModel\": \"claude-sonnet\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"AgenticLever\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"RoadSense\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"qip-qien\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"congressional-trading\",\n \"priority\": \"P3\"\n },\n {\n \"project\": \"TradingBot25\",\n \"priority\": \"P3\"\n }\n ],\n \"next_reset_at\": \"2026-07-11T20:59:58.698Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"tracked\": true,\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 79\n },\n {\n \"name\": \"Codex\",\n \"tracked\": true,\n \"5h_remaining_pct\": 0,\n \"7d_remaining_pct\": 49\n },\n {\n \"name\": \"Gemini\",\n \"tracked\": false,\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n },\n {\n \"name\": \"LM Studio\",\n \"tracked\": false,\n \"note\": \"local model server — always-available when running at lm_studio_url\"\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 100,\n \"resets_in_sec\": -1\n },\n \"7d\": {\n \"remaining_pct\": 79,\n \"resets_in_sec\": 343795\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n - Update the project card's `Next action` and append a dated line to its `Notes`.\n - Update the `Last activity` date in `BOARD.md`.\n - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n - `recurrence`: omit (one-shot)\n - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T21:30:03.709Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"44bc791d-d7be-4afc-b690-b87c227edb39","isSidechain":false,"promptId":"f30998bf-c16c-437a-b739-6712ddace833","type":"user","message":{"role":"user","content":"\nScript output:\n{\n \"burnable_pct\": 70.5,\n \"tier\": \"high\",\n \"implementationModel\": \"claude-sonnet\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"AgenticLever\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"RoadSense\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"qip-qien\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"congressional-trading\",\n \"priority\": \"P3\"\n },\n {\n \"project\": \"TradingBot25\",\n \"priority\": \"P3\"\n }\n ],\n \"next_reset_at\": \"2026-07-11T20:59:58.698Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"tracked\": true,\n \"5h_remaining_pct\": 100,\n \"7d_remaining_pct\": 79\n },\n {\n \"name\": \"Codex\",\n \"tracked\": true,\n \"5h_remaining_pct\": 0,\n \"7d_remaining_pct\": 49\n },\n {\n \"name\": \"Gemini\",\n \"tracked\": false,\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n },\n {\n \"name\": \"LM Studio\",\n \"tracked\": false,\n \"note\": \"local model server — always-available when running at lm_studio_url\"\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 100,\n \"resets_in_sec\": -1\n },\n \"7d\": {\n \"remaining_pct\": 79,\n \"resets_in_sec\": 343795\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n - Update the project card's `Next action` and append a dated line to its `Notes`.\n - Update the `Last activity` date in `BOARD.md`.\n - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n - `recurrence`: omit (one-shot)\n - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there."},"uuid":"c574bf5f-061a-4f9c-a5b0-c4697cbb5408","timestamp":"2026-07-07T21:30:03.716Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"c574bf5f-061a-4f9c-a5b0-c4697cbb5408","isSidechain":false,"attachment":{"type":"todo_reminder","content":[],"itemCount":0},"type":"attachment","uuid":"f1889964-11f4-44a3-9c26-4279b638757b","timestamp":"2026-07-07T21:30:03.716Z","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"f1889964-11f4-44a3-9c26-4279b638757b","isSidechain":false,"type":"assistant","uuid":"4efc8b76-fda8-4966-9a15-98b388c1b8e0","timestamp":"2026-07-07T21:30:04.216Z","message":{"id":"30f4fdb5-df97-4bf1-ab3d-327c8d6d3296","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T21:30:04.221Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T21:30:04.221Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"4efc8b76-fda8-4966-9a15-98b388c1b8e0","isSidechain":false,"promptId":"95038cce-3ab8-4227-ae07-e46faa3455ec","type":"user","message":{"role":"user","content":"Your response was not delivered — it was not wrapped in ... blocks. All output must be wrapped: use for content to send, or for scratchpad. Your destinations: cli-local, cw-coder, ingest-into-wiki, telegram-mg-17796, telegram-mg-17800. Please re-send your response with the correct wrapping."},"uuid":"667473a7-b392-48dd-9f8a-82a61bf5bf86","timestamp":"2026-07-07T21:30:04.223Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"parentUuid":"667473a7-b392-48dd-9f8a-82a61bf5bf86","isSidechain":false,"type":"assistant","uuid":"0542c1e3-ae8f-4dca-b1e6-aab2204252a6","timestamp":"2026-07-07T21:30:04.707Z","message":{"id":"91f3545e-212d-4641-8792-93003f09fe0d","container":null,"model":"","role":"assistant","stop_reason":"stop_sequence","stop_sequence":"","type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":null,"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"inference_geo":null,"iterations":null,"speed":null},"content":[{"type":"text","text":"Credit balance is too low"}],"context_management":null},"error":"billing_error","isApiErrorMessage":true,"apiErrorStatus":400,"userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-07-07T22:00:02.328Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","content":"\nScript output:\n{\n \"burnable_pct\": 70.5,\n \"tier\": \"high\",\n \"implementationModel\": \"claude-sonnet\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"AgenticLever\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"RoadSense\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"qip-qien\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"congressional-trading\",\n \"priority\": \"P3\"\n },\n {\n \"project\": \"TradingBot25\",\n \"priority\": \"P3\"\n }\n ],\n \"next_reset_at\": \"2026-07-11T20:59:59.311Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"tracked\": true,\n \"5h_remaining_pct\": 95,\n \"7d_remaining_pct\": 79\n },\n {\n \"name\": \"Codex\",\n \"tracked\": true,\n \"5h_remaining_pct\": 0,\n \"7d_remaining_pct\": 49\n },\n {\n \"name\": \"Gemini\",\n \"tracked\": false,\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n },\n {\n \"name\": \"LM Studio\",\n \"tracked\": false,\n \"note\": \"local model server — always-available when running at lm_studio_url\"\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 95,\n \"resets_in_sec\": 17397\n },\n \"7d\": {\n \"remaining_pct\": 79,\n \"resets_in_sec\": 341997\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n - Update the project card's `Next action` and append a dated line to its `Notes`.\n - Update the `Last activity` date in `BOARD.md`.\n - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n - `recurrence`: omit (one-shot)\n - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there."}
{"type":"queue-operation","operation":"dequeue","timestamp":"2026-07-07T22:00:02.329Z","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566"}
{"parentUuid":"0542c1e3-ae8f-4dca-b1e6-aab2204252a6","isSidechain":false,"promptId":"a87fd8fe-8769-4d13-9d90-fd41e21df095","type":"user","message":{"role":"user","content":"\nScript output:\n{\n \"burnable_pct\": 70.5,\n \"tier\": \"high\",\n \"implementationModel\": \"claude-sonnet\",\n \"eligibleProjects\": [\n {\n \"project\": \"StageHand\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"nanoclaw\",\n \"priority\": \"P1\"\n },\n {\n \"project\": \"AgenticLever\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"RoadSense\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"qip-qien\",\n \"priority\": \"P2\"\n },\n {\n \"project\": \"congressional-trading\",\n \"priority\": \"P3\"\n },\n {\n \"project\": \"TradingBot25\",\n \"priority\": \"P3\"\n }\n ],\n \"next_reset_at\": \"2026-07-11T20:59:59.311Z\",\n \"providerSnapshot\": [\n {\n \"name\": \"Claude\",\n \"tracked\": true,\n \"5h_remaining_pct\": 95,\n \"7d_remaining_pct\": 79\n },\n {\n \"name\": \"Codex\",\n \"tracked\": true,\n \"5h_remaining_pct\": 0,\n \"7d_remaining_pct\": 49\n },\n {\n \"name\": \"Gemini\",\n \"tracked\": false,\n \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n },\n {\n \"name\": \"LM Studio\",\n \"tracked\": false,\n \"note\": \"local model server — always-available when running at lm_studio_url\"\n }\n ],\n \"claude_windows\": {\n \"5h\": {\n \"remaining_pct\": 95,\n \"resets_in_sec\": 17397\n },\n \"7d\": {\n \"remaining_pct\": 79,\n \"resets_in_sec\": 341997\n }\n }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n - Update the project card's `Next action` and append a dated line to its `Notes`.\n - Update the `Last activity` date in `BOARD.md`.\n - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n - `recurrence`: omit (one-shot)\n - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there."},"uuid":"c3927a99-7e3b-44b5-8f97-333da62c9fa2","timestamp":"2026-07-07T22:00:02.346Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"sdk-ts","cwd":"/workspace/agent","sessionId":"62e26f90-c3aa-4fca-a301-b32a4948e566","version":"2.1.128","gitBranch":"HEAD"}
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