miuuyy/Astra-Ares
Adaptive reasoning effort for GPT-6 during Codex tasks, powered by Jev to reduce token usage.
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README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
Adaptive Reasoning Effort Selection for GPT-6 Astra, Sol and Luna while your Codex task runs. Get started · How it works · Configuration · Troubleshooting Astra-Ares is the first tool to let Jev adapt GPT-6's reasoning effort while a Codex task runs. The goal is to reduce token usage by matching reasoning depth to the next step. Jev reads bounded task context, chooses how much your selected model should think next, and decides how many generations that effort should last. Codex applies the choice while work continues. This is possible because GPT-6 models can change reasoning effort without invalidating the original prompt prefix used for caching. Ares uses that native mechanism, keeping the same model, conversation, and direct OpenAI connection. How GPT-6 preserves the prefix → You install a separate, patched Codex CLI. Setup downloads a pinned Codex version, applies the included patch, and builds it automatically. You do not…
Read the full README ↗ · Preview checked 2026-09-25T12:49:40.500Z
Inside the original README — Document outline
- Get started
- 1. Install from source
- 2. Add your Jev key
- 3. Start Codex
- Everyday use
- How it works
- What Jev sees
- Native effort changes
- If something fails
- Development
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What this repository does
Adaptive reasoning effort for GPT-6 during Codex tasks, powered by Jev to reduce token usage.
Repository facts
- Owner
- miuuyy
- Primary language
- JavaScript
- Stars
- 271
- Forks
- 20
- Open issues + pull requests
- 4
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2026-09-22T14:10:07.000Z
- Last push
- 2026-09-23T11:49:05.000Z
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