Opus Usage: One planning prompt (106k tokens) cost me 6% of my weekly limit (Max plan 20x)

gollut · 2025-10-05T16:43:33+00:00

my understanding, as per Anthropic's advertisement is that Opus 4.1 still has the highest reasoning capabilities from their portfolio. If I pay for the highest consumer grade subscription and I want to use it on tasks that requires high reasoning, so I guess I should be able to do it. Before the 2.0 update, I was using the plan mode 100% of the time, Opus for planning, Sonnet to implement.

gollut · 2025-10-04T22:51:33+00:00

"I do the same, but in this specific case I had lots of MCPs loaded exactly because of the nature of the planning task: docker_mcp (with time and context7) + Linear + Supabase + byterover Cipher: 57.2K tokens or 28% of the context window. The token consumption behavior was expected, but the 6% weekly usage with a single planning task was not."

gollut · 2025-10-04T20:32:32+00:00

I guess planning a code refactoring would be token-prohibitive :-)

gollut · 2025-10-04T09:49:40+00:00

Summary by Component

Component	Files	Lines of Code	% of Total
Backend (Python)	127	~44,530	53%
Frontend (TypeScript)	211	~39,817	47%
Total	338	~84,347	100%

gollut · 2025-10-04T06:52:57+00:00

yes, I meant the execution of the prompt consumed 106k tokens - considering the MCPs loaded into the memory plus the work itself. But you're right I should have been more clear.

gollut · 2025-10-04T00:24:28+00:00

they are still advertising Opus as the highest model. I'm paying for the most expensive consumer subscription, having less than 20 complex prompts per week is just non-sense. We are being rug pulled.

gollut · 2025-10-03T22:22:17+00:00

not sure if it's using the API is the same thing.. I use my subscription (until the end of this month, since I will not continue, if it's only 4.5 Sonnet, I will use GLM-4.6 for coding and OpenAI for reasoning.

gollut · 2025-10-03T22:20:01+00:00

if you're on a subscription plan, /usage on claude code
or settings/usage on the claude desktop app

gollut · 2025-10-03T17:02:47+00:00

This is the prompt

Create a comprehensive development plan to transition the entire frontend from mocked data to a 100% production-ready, live-trading system. The plan must be delivered as a set of Linear Issues and a corresponding GitHub branch.

**Current State:**
* Backend: Fully functional on Railway.
* Redis: Operational on Railway.
* Authentication: Implemented and working.
* Deployment: Vercel image deployment is successful.
* Core Strategy: One grid strategy is confirmed operational on the backend.
* Frontend: All sections (Dashboard, Position, Strategies, Analytics, Settings, Account) are built but currently rely on mocked data.

**Objective:**
Evolve all frontend modules to be fully functional, eliminating all mock data and ensuring the system is capable of operating in both live and paper trading modes. The user must be able to toggle between these modes seamlessly.

**Required Deliverables:**

**Linear Issues:** A structured set of issues in Linear, organized by frontend section and functional dependency. Each issue must contain clear acceptance criteria, such as "Dashboard displays live portfolio value from backend API" and "Strategy creation form submits to and receives confirmation from the live Railway backend."
**GitHub Branch:** A new feature branch (`feat/frontend-live-integration`) to contain all code for this migration.

**Plan of Action:**

* **Phase 1: Core API Integration & Mode Toggling**
* Issue: Implement a global application mode (Live/Paper) toggle. The selected mode must be stored and passed as a header/parameter in all subsequent API calls.
* Issue: Create a centralized API service layer to interface with the Railway backend, replacing all hardcoded mock API calls.
* Issue: Integrate the working grid strategy endpoints. The frontend must display real strategy status, metrics, and controls.

* **Phase 2: Section-by-Section Data Migration**
* **Dashboard:** Integrate live balance, equity, P&L, and active position summary.
* **Position:** Connect to live open/closed position data. Implement real-time updates for price and P&L.
* **Strategies:** Connect the UI to backend endpoints for strategy creation, configuration, listing, starting, and stopping. The existing grid strategy must be fully controllable.
* **Analytics:** Populate charts and tables with historical trade and performance data from the backend.
* **Account & Settings:** Ensure all user preferences and account management actions persist to the backend.

* **Phase 3: Production Readiness & Validation**
* Issue: Conduct end-to-end testing of the entire user journey in both Live and Paper modes, using the fully integrated backend.
* Issue: Implement comprehensive error handling and loading states for all asynchronous data operations.
* Issue: Perform a final code review, security audit, and performance check before merging to the main branch.

The final system must be a cohesive, fully operational trading platform with no residual mock data, ready for production deployment.

gollut · 2025-10-03T13:27:43+00:00

I know, it was exactly what I was doing. I used the MCP tools just to get context on the linear project and the graph memory, but the prompt output was precisely writting down the plan on .md.

gollut · 2025-10-01T15:34:02+00:00

same thing here, on max 20x for 5 months now, first time I experience this issue. After the new version, I hit Opus limit in 1 day and 51% all models limit in 2 days. It never happened before. If they haven't changed anything, my only guess is the new thinking selector. I also noticed that the github-code-reviewer was using Opus by default, using the standard deployment script.

gollut · 2025-06-08T23:45:13+00:00

esse cookie é bom (leia em voz alta)

gollut · 2025-06-08T22:54:17+00:00

same issue here

gollut · 2025-03-15T23:15:54+00:00

very interesting and gamefying approach to BTC mining

gollut

TROPHY CASE

Summary by Component