What you're hitting today
Three pain points Codex CLI users face
Slow OpenAI API direct connection
First-token latency to api.openai.com averages 5-10 seconds. Codex CLI on long prompts stalls constantly.
Long-output token streams drop
GPT-4 long-output scenarios frequently disconnect mid-stream. All preceding output is wasted.
Account / API key risk control
Calling OpenAI from datacenter IPs gets flagged as abuse. API keys disabled, accounts need re-applying.
How NasaCode solves it
Three-layer acceleration — OpenAI calls feel local
IEPL backbone direct to OpenAI
IEPL backbone from Asia to OpenAI's US-West edge — bypasses public-internet congestion, backbone latency under 80ms.
TUN capture for terminal / Docker
Codex calls from terminal CLI, Docker containers, CI runners are all accelerated automatically — zero config changes.
Residential IP pool
Rotating residential IPs are read as normal users by OpenAI risk control. API keys stay stable long-term, no disabling.
Three steps to ship
60 seconds from download to coding
01
Download the NasaCode client
Windows / macOS / Linux all supported. Installer under 30MB.
02
Enable TUN mode
Toggle TUN in the client. All process traffic is captured automatically.
03
Run Codex CLI
Run codex in your terminal or call OpenAI API from inside Docker — fully accelerated.
< 200ms
Average first-token latency
100%
Long-output stream stability
99.9%
API call success rate