Generate images or videos via AIMLAPI from prompts. Use when Codex needs reliable AI/ML API media generation with retries, explicit User-Agent headers, and a...
---
name: aimlapi-media-gen
description: Generate images or videos via AIMLAPI from prompts. Use when Codex needs reliable AI/ML API media generation with retries, explicit User-Agent headers, and async video polling.
env:
- AIMLAPI_API_KEY
primaryEnv: AIMLAPI_API_KEY
---
# AIMLAPI Media Generation
## Overview
Generate images and videos via AIMLAPI with scripts that include retries, API key file fallback, verbose logs, and required `User-Agent` headers on every request.
## Quick start
```bash
export AIMLAPI_API_KEY="sk-aimlapi-..."
python3 {baseDir}/scripts/gen_image.py --prompt "ultra-detailed studio photo of a lobster astronaut"
python3 {baseDir}/scripts/gen_video.py --prompt "slow drone shot of a foggy forest"
```
## Tasks
### Generate images
Use `scripts/gen_image.py` with `/v1/images/generations`.
```bash
python3 {baseDir}/scripts/gen_image.py \
--prompt "cozy cabin in a snowy forest" \
--model aimlapi/openai/gpt-image-1 \
--size 1024x1024 \
--count 2 \
--retry-max 4 \
--user-agent "openclaw-custom/1.0" \
--out-dir ./out/images
```
### Generate videos (async AIMLAPI flow)
Use `scripts/gen_video.py` with the real async flow:
1. `POST /v2/video/generations` (create task)
2. `GET /v2/video/generations?generation_id=...` (poll status)
3. download `video.url` when status is completed
```bash
python3 {baseDir}/scripts/gen_video.py \
--model google/veo-3.1-t2v-fast \
--prompt "time-lapse of clouds over a mountain range" \
--poll-interval 10 \
--max-wait 1000 \
--user-agent "openclaw-custom/1.0" \
--out-dir ./out/videos
```
## References
- `references/aimlapi-media.md`: endpoint notes, async polling statuses, and troubleshooting.
- `README.md`: changelog-style summary of new instructions.
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