codex-image

Files (4)

• SKILL.md
• codex_image.py · scripts/
• codex_image_edit.py · scripts/
• get_auth.py · scripts/

SKILL.md (first lines)

# Codex Image Generation

Generate images via `chatgpt.com/backend-api/codex/responses` using the `image_generation` tool (gpt-image-2).

## Requirements

- A ChatGPT account (token is fetched automatically via browser session)
- No manual token setup needed — the skill handles auth automatically

## Auth Token Resolution (in order)

1. `--token` argument (CLI only)
2. `CODEX_IMAGE_TOKEN` environment variable
3. `--token-file` argument (CLI only)
4. `~/.chatgpt_auth.json` cache (valid for 8 hours)
5. **Auto login flow** — fetches from `https://chatgpt.com/api/auth/session` via `minis-browser-use`:
   - If already logged in → token extracted and saved to cache immediately
   - If not logged in → opens `chatgpt.com/auth/login` in the browser, then polls every 10s in a new tab for up to 5 minutes
   - On success → saves token to `~/.chatgpt_auth.json` (chmod 600, token + timestamp only)
   - **Token is never printed to stdout or logs** — it stays in the cache file only

## Usage

### Text-to-image

```bash
python3 scripts/codex_image.py "a cute rabbit on a light background" \
  --output rabbit.png \
  --model gpt-5.4 \
  --effort low
```

### Image-to-image / reference image

```bash
python3 scripts/codex_image_edit.py "turn this person into a cinematic iOS AI assistant portrait" \
  --image reference.jpg \
  --output portrait.png \
  --model gpt-5.4 \
  --effort low
```

`codex_image_edit.py` encodes the local reference image as a base64 data URL and sends it as multimodal input (`input_text` + `input_image`) to the same Codex responses endpoint, then asks the `image_generation` tool to create a new image from the reference.

### Parameters

| Parameter | Default | Description |
|-----------|---------|-------------|
| `prompt` | (required) | Image description or edit instruction |
| `--image` | (edit only, required) | Local reference image path for image-to-image generation |
| `--output` | `codex_image.png` / `codex_image_edit.png` | Output file path |
| `--model` | `gpt-5.4` | Codex model |
| `--effort` | `low` | Reasoning effort: low/medium/high |
| `--token` | - | Access token directly (skips auto auth; text-to-image script only) |
| `--token-file` | - | File containing token (skips auto auth; text-to-image script only) |

### Output

JSON with `success`, `path`, `size`, `revised_prompt` on success.

## Auth Script (standalone)

```bash
python3 scripts/get_auth.py
```

Returns JSON `{"success": true, "source": "cache|session|login"}` — **the token itself is never printed to stdout**. It is written only to `~/.chatgpt_auth.json` (chmod 600, token + timestamp only, no PII). This prevents the token from appearing in shell logs, conversation context, or screenshots.

## Workflow

1. **Token**: auto-resolved via `get_auth.py`:
   - Already cached → use directly
   - Already logged in (browser session) → extract immediately
   - Not logged in → `minis-open` pops the ChatGPT login page to the user in foreground, then polls every 10s (up to 5 min) until login is detected
2. Construct the prompt from the user's request.
3. Run `scripts/codex_image.py` with appropriate arguments.
4. Send the generated image to the user.

## Notes

- Token is cached in `~/.chatgpt_auth.json` for 8 hours (chmod 600, token + timestamp only — no PII stored).
- **Token is never printed to stdout or conversation context** — always read from cache file internally.
- The endpoint requires `stream: true`; the script handles SSE parsing internally.
- Token is a ChatGPT session token, not an OpenAI API key. It expires and is refreshed automatically on next use.
- Image generation uses `gpt-image-2` under the hood with auto quality/size.
- Token usage is split: main `usage` tracks text tokens, `tool_usage.image_gen` tracks image tokens separately.
- This uses an internal/unofficial API endpoint. Availability may change.

From Willian8021743/windows-ai-toolkit, MIT.

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