GPTMap

A chart of the OpenAI ecosystem

Everything about OpenAI, mapped.

ChatGPT, GPT Models, Codex, API, Prompt, Memory, Voice, Images, MCP — every corner of the OpenAI ecosystem, organized into one navigable map.

14
Channels
100%
Original & first-hand tested
llms.txt + Schema
AI-friendly

02

Latest articles

ChatGPT
5 min

ChatGPT Not Working? Troubleshoot in This Order (2026)

When ChatGPT stops working, the cause sits in one of three layers: a platform incident, your local environment, or your account. Check status.openai.com first — most 'won't load' cases turn out to be local.

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Codex
5 min

Codex Cloud Setup: Environments, Cloud Tasks, and the codex cloud CLI

Codex Cloud (called Codex Web in the source) is the hosted Codex surface: tasks run in cloud environments organized per GitHub repo, and the codex cloud CLI submits, tracks, and pulls diffs back to your machine.

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Codex
3 min

Codex CLI config.toml: The Complete Guide to Models, Approvals, MCP and Layered Config

Codex CLI centers on ~/.codex/config.toml: model picks the model, approval_policy gates prompts, sandbox_mode sets boundaries, mcp_servers wires tools, profiles switch scenarios.

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MCP
3 min

Codex CLI MCP Servers: The Full mcp_servers Config Field Guide

Codex CLI wires MCP servers via [mcp_servers] in config.toml: command/args/env for stdio, url/bearer_token/http_headers for remote, plus timeouts, tool filters and OAuth.

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Codex
4 min

Codex CLI Sandbox Modes: sandbox_mode and approval_policy Explained

Codex CLI sandbox has four levels — read-only, workspace-write, external-sandbox, danger-full-access — plus a separate approval_policy axis. Every value checked against the codex source enums.

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API
3 min

OpenAI API 429 Rate Limit Errors: RateLimitError and SDK Retries Explained

A 429 is two problems in one status: throughput limits vs quota exhaustion. The Python SDK already retries twice and honors Retry-After — this guide explains the mechanics from source.

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Guides
11 min

OpenAI's Agents Optimization cookbook: a four-round playbook for cheaper support agents

A new official cookbook tutorial on agent optimization: measure a baseline, change one thing per round, and accept savings only after quality holds. Four optimization rounds and a nine-step tuning order, item by item.

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