drifting coral Aug 14, 2026, 7:06 AM

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Hey, can you install Android TV system on a computer?

gentle auroraBOT Aug 14, 2026, 7:06 AM

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Hi @drifting coral. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

#

I’m tuned to answer questions specifically about OpenAI products and documentation. The provided knowledge sources only mention Android in the context of setting up Android development tools inside Codex/ChatGPT environments (for example, installing the Android SDK and command-line tools), not installing an Android TV operating system on a PC. [Setup script]

They do not contain any information or guidance about installing Android TV itself on a computer, so I can’t reliably answer that part of your question based on these sources.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@drifting coral Kapa.ai is still learning and improving, please let me know how I did by reacting below.

drifting coral Aug 14, 2026, 7:08 AM

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Do you remember Sora 2?

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@gentle aurora do you remember Sora 2?

gentle auroraBOT Aug 14, 2026, 7:08 AM

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Let me check the knowledge base for you again. One moment! :books:

#

Yes. Sora 2 is OpenAI’s (now deprecated) flagship video generation model that creates videos with synced audio from text or image inputs, exposed through the Videos API (POST /v1/videos). [Sora 2 model; Video generation guide]

It has two main variants:

sora-2 – faster and cheaper, good for exploration and 720p output. [Models guide; Pricing]
sora-2-pro – higher quality, supports up to 1080p and longer clips (up to 20 seconds). [Sora 2 Pro model; Changelog]

Both the Sora 2 models and the Videos API are deprecated and scheduled to shut down on September 24, 2026. [Deprecations; Video generation guide]

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@drifting coral Kapa.ai is still learning and improving, please let me know how I did by reacting below.

drifting coral Aug 14, 2026, 7:11 AM

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@gentle aurora Why Sora 2 shutdowned on April 26, 2026?

gentle auroraBOT Aug 14, 2026, 7:11 AM

#

Let me check the knowledge base for you again. One moment! :books:

#

The knowledge sources do not explain why Sora 2 (the Sora web/app experience) was shut down on April 26, 2026. They only state that:

The Sora 2 models and the Videos API are deprecated and are scheduled to fully shut down on September 24, 2026 for API access. [Sora deprecation; Video generation guide]

The documents do not provide any official reasoning (such as technical, business, or safety reasons) for the April 26, 2026 shutdown of the Sora web/app product, so I can’t give a definitive explanation based on the available sources.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@drifting coral Kapa.ai is still learning and improving, please let me know how I did by reacting below.

drifting coral Aug 14, 2026, 7:16 AM

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@gentle aurora does gpt-5.6 luna really don't have text limit?

gentle auroraBOT Aug 14, 2026, 7:16 AM

#

Let me check the knowledge base for you again. One moment! :books:

#

GPT‑5.6 Luna does have limits; it is not unlimited.

From the model docs:

Context window: 1,050,000 tokens total (input + output + reasoning). [GPT‑5.6 Luna model; Models overview]
Max output tokens per response: 128,000. [GPT‑5.6 Luna model]

In ChatGPT, there are also per‑plan usage limits (number of messages over a time window), even for Luna, though the exact ranges depend on whether you’re on Plus, Pro, Business, etc. [Usage limits FAQ; GPT‑5.6 in ChatGPT]

So GPT‑5.6 Luna can handle very long conversations and documents, but it still has token and usage limits.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@drifting coral Kapa.ai is still learning and improving, please let me know how I did by reacting below.

drifting coral Aug 14, 2026, 7:17 AM

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@gentle aurora give me some Open AI lost media

gentle auroraBOT Aug 14, 2026, 7:17 AM

#

Let me check the knowledge base for you again. One moment! :books:

#

The knowledge sources don’t mention any “lost media” related to OpenAI (for example, unreleased models, vanished demos, or removed videos) beyond standard, documented deprecations and shutdowns.

What is covered are:

Model and API retirements (e.g., older GPT-3/3.5/4 snapshots, embeddings, DALL·E models) with clear replacement suggestions, not “lost” content. [GPT & embeddings 2023; Legacy GPT snapshots]
Sora 2 / Videos API deprecation, with a scheduled shutdown on September 24, 2026, again documented and not described as lost media. [Sora deprecation; Video generation guide]
ChatGPT model retirements (e.g., GPT‑4o, GPT‑4.1, some GPT‑5 variants) from the ChatGPT product, while they remain available in the API for some time. [Retiring ChatGPT models]

There’s no list or discussion of “lost media” in the sense of missing or unrecoverable OpenAI content, so I can’t provide concrete examples beyond these normal, documented deprecations.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@drifting coral Kapa.ai is still learning and improving, please let me know how I did by reacting below.

drifting coral Aug 16, 2026, 2:33 PM

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I cannot fullfill Sora 2 in Python.

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@gentle aurora I cannot fullfill Sora 2 in Python.

gentle auroraBOT Aug 16, 2026, 2:33 PM

#

Let me check the knowledge base for you again. One moment! :books:

#

It’s not clear exactly what’s failing, but the knowledge sources do show the correct way to call Sora 2 from Python and some current limitations that might block you.

1. Basic Python usage for Sora 2

Using the official openai Python client: [Video generation guide; Python API methods]

from openai import OpenAI

client = OpenAI()

video = client.videos.create(
    model="sora-2",
    prompt="A video of a cool cat on a motorcycle in the night",
)

print("Video generation started:", video)

Then poll until it finishes and download the MP4: [Download MP4]

from openai import OpenAI
import sys, time

client = OpenAI()

video = client.videos.create(
    model="sora-2",
    prompt="A video of a cool cat on a motorcycle in the night",
)

print("Video generation started:", video)

progress = getattr(video, "progress", 0)
bar_length = 30

while video.status in ("in_progress", "queued"):
    video = client.videos.retrieve(video.id)
    progress = getattr(video, "progress", 0)

    filled_length = int((progress / 100) * bar_length)
    bar = "=" * filled_length + "-" * (bar_length - filled_length)
    status_text = "Queued" if video.status == "queued" else "Processing"

    sys.stdout.write(f"\r{status_text}: [{bar}] {progress:.1f}%")
    sys.stdout.flush()
    time.sleep(2)

sys.stdout.write("\n")

if video.status == "failed":
    message = getattr(getattr(video, "error", None), "message", "Video generation failed")
    raise RuntimeError(message)

#

print("Video generation completed:", video)
print("Downloading video content...")

content = client.videos.download_content(video.id, variant="video")
content.write_to_file("video.mp4")

print("Wrote video.mp4")


Make sure:

- You’ve set `OPENAI_API_KEY` in your environment.
- You’re using a supported model name: `"sora-2"` or `"sora-2-pro"` (or one of the listed snapshots). [[Videos reference](<https://developers.openai.com/api/reference>)]
- Your account/tier actually has access to Sora 2 (the docs don’t state access rules, so if you get 403/404, that may be the reason; the sources don’t give more detail here).

### 2. Common API constraints that can cause failures

From the docs, these will cause jobs to fail even if your code is correct: [[Generate a video](<https://developers.openai.com/api/docs/guides/video-generation#generate-a-video>)]

#

Content guardrails:
- No real people or public figures.
- No copyrighted characters or copyrighted music.
- No human faces in input images; human-like character uploads are blocked.
Parameters must be valid:
- seconds must be one of "4", "8", "12" (or up to "20" in the newer prompting guide). [Videos reference; Prompting guide]
- size must be one of 720x1280, 1280x720, 1024x1792, 1792x1024 (the last two only for sora-2-pro). [Prompting guide]
Image references must match the video resolution and be JPEG/PNG/WebP. [Use image references]

3. Deprecation timing

Sora 2 and the Videos API are deprecated and scheduled to shut down on September 24, 2026, but they should still function until then. [Sora deprecation; Video generation guide]

If you’re seeing errors like 503 or jobs stuck at progress: 0, the forum mentions such issues but doesn’t provide an official fix in the sources. [Forum thread]

If you can share the exact Python snippet you’re using and the error/status you get (e.g., HTTP code, `video.status`, `video.error.message`), I can map it more precisely to what the docs describe.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@drifting coral Kapa.ai is still learning and improving, please let me know how I did by reacting below.

drifting coral Aug 16, 2026, 2:35 PM

#

The code:import os
import time
import requests

API_KEY = os.environ.get("OPENAI_API_KEY")

if not API_KEY:
print("Brak OPENAI_API_KEY")
print('Ustaw go: export OPENAI_API_KEY="Mój kod)
exit()

headers = {
"Authorization": f"Bearer {API_KEY]"
}

prompt = input("Spongebob screaming sora 2 is back!")

response = requests.post(
"https://api.openai.com/v1/videos",
headers=headers,
data={
"model": "sora-2",
"prompt": prompt,
"size": "1280x720",
"seconds": "8"
}
)

print("Odpowiedź API:", response.text)

if response.status_code not in [200, 201]:
print("Błąd:", response.text)
exit()

video = response.json()
video_id = video["id"]

print("Generowanie rozpoczęte:", video_id)

while True:
response = requests.get(
f"https://api.openai.com/v1/videos/{video_id}",
headers=headers
)

video = response.json()
status = video.get("status")

print("Status:", status)

if status == "completed":
    break

if status in ["failed", "cancelled"]:
    print("Generowanie nieudane:")
    print(video)
    exit()

time.sleep(5)

print("Film gotowy! Pobieram...")

response = requests.get(
f"https://api.openai.com/v1/videos/{video_id}/content",
headers=headers,
stream=True
)

if response.status_code != 200:
print("Błąd pobierania:", response.text)
exit()

with open("sora_video.mp4", "wb") as file:
for chunk in response.iter_content(chunk_size=8192):
if chunk:
file.write(chunk)

print("Gotowe!")
print("Plik:", os.path.abspath("sora_video.mp4"))

#

@gentle aurora the code:import os
import time
import requests

API_KEY = os.environ.get("OPENAI_API_KEY")

if not API_KEY:
print("Brak OPENAI_API_KEY")
print('Ustaw go: export OPENAI_API_KEY="Mój kod)
exit()

headers = {
"Authorization": f"Bearer {API_KEY]"
}

prompt = input("Spongebob screaming sora 2 is back!")

response = requests.post(
"https://api.openai.com/v1/videos",
headers=headers,
data={
"model": "sora-2",
"prompt": prompt,
"size": "1280x720",
"seconds": "8"
}
)

print("Odpowiedź API:", response.text)

if response.status_code not in [200, 201]:
print("Błąd:", response.text)
exit()

video = response.json()
video_id = video["id"]

print("Generowanie rozpoczęte:", video_id)

while True:
response = requests.get(
f"https://api.openai.com/v1/videos/{video_id}",
headers=headers
)

video = response.json()
status = video.get("status")

print("Status:", status)

if status == "completed":
    break

if status in ["failed", "cancelled"]:
    print("Generowanie nieudane:")
    print(video)
    exit()

time.sleep(5)

print("Film gotowy! Pobieram...")

response = requests.get(
f"https://api.openai.com/v1/videos/{video_id}/content",
headers=headers,
stream=True
)

if response.status_code != 200:
print("Błąd pobierania:", response.text)
exit()

with open("sora_video.mp4", "wb") as file:
for chunk in response.iter_content(chunk_size=8192):
if chunk:
file.write(chunk)

print("Gotowe!")
print("Plik:", os.path.abspath("sora_video.mp4"))

gentle auroraBOT Aug 16, 2026, 2:35 PM

#

Let me check the knowledge base for you again. One moment! :books:

#

Two issues in your code are clearly wrong based on the docs, and one is likely to cause silent failures:

Broken Authorization header

You have a typo:

headers = {
    "Authorization": f"Bearer {API_KEY]"
}

This mixes { and ]. It should be:

headers = {
    "Authorization": f"Bearer {API_KEY}"
}

If the header is malformed, the API will reject the request (typically 401/403), and response.text will show an error instead of a video job. The Videos API expects a standard Bearer token header. [Video generation]

Using data= instead of proper JSON or multipart

The reference shows two valid ways to call POST /videos: JSON body or multipart form. [Videos reference; Generate a video]

JSON example (closest to what you want):

import os
import time
import requests

API_KEY = os.environ["OPENAI_API_KEY"]

headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json",
}

prompt = "Spongebob screaming sora 2 is back!"

response = requests.post(
    "<https://api.openai.com/v1/videos",>
    headers=headers,
    json={
        "model": "sora-2",
        "prompt": prompt,
        "size": "1280x720",
        "seconds": "8",
    },
)

print("Odpowiedź API:", response.text)

The OpenAI reference schema for JSON is: model, prompt, optional input_reference, seconds, size. [Videos reference]

#

Multipart example (like the curl in the docs):

curl -X POST "<https://api.openai.com/v1/videos"> \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: multipart/form-data" \
  -F prompt="..." \
  -F model="sora-2" \
  -F size="1280x720" \
  -F seconds="8"
``` [[Generate a video](<https://developers.openai.com/api/docs/guides/video-generation#generate-a-video>)]

Using data= without Content-Type: application/json means requests sends application/x-www-form-urlencoded, which is not what the spec describes. The docs don’t say this is supported, so it may fail or behave unexpectedly. [Videos reference]

Prompt input line

You wrote:

prompt = input("Spongebob screaming sora 2 is back!")

This shows that text as a prompt to the user, but the actual prompt becomes whatever the user types. If you just want that fixed prompt, use:

prompt = "Spongebob screaming sora 2 is back!"

Also note: the content rules block copyrighted characters; the docs say “Copyrighted characters and copyrighted music will be rejected.” [Generate a video]
So a prompt explicitly about “Spongebob” may cause the job to fail.

Putting it together, here is a minimal version aligned with the docs (no copyrighted character, JSON body, correct header, polling, download): [Generate a video; Download the MP4]

import os
import time
import requests

#

API_KEY = os.environ.get("OPENAI_API_KEY")
if not API_KEY:
print("Brak OPENAI_API_KEY")
exit()

headers = {
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json",
}

prompt = "A yellow cartoon-style sea sponge screaming that sora 2 is back, no copyrighted characters."

Start job

response = requests.post(
"https://api.openai.com/v1/videos",
headers=headers,
json={
"model": "sora-2",
"prompt": prompt,
"size": "1280x720",
"seconds": "8",
},
)

print("Odpowiedź API:", response.text)

if response.status_code not in (200, 201):
print("Błąd:", response.text)
exit()

video = response.json()
video_id = video["id"]
print("Generowanie rozpoczęte:", video_id)

Poll status

while True:
response = requests.get(
f"https://api.openai.com/v1/videos/{video_id}",
headers={"Authorization": f"Bearer {API_KEY}"},
)
video = response.json()
status = video.get("status")
print("Status:", status, "progress:", video.get("progress"))

if status == "completed":
    break
if status in ("failed", "cancelled"):
    print("Generowanie nieudane:", video)
    exit()

time.sleep(5)

print("Film gotowy! Pobieram...")

Download MP4

response = requests.get(
f"https://api.openai.com/v1/videos/{video_id}/content",
headers={"Authorization": f"Bearer {API_KEY}"},
stream=True,
)

if response.status_code != 200:
print("Błąd pobierania:", response.text)
exit()

with open("sora_video.mp4", "wb") as f:
for chunk in response.iter_content(chunk_size=8192):
if chunk:
f.write(chunk)

print("Gotowe!")
print("Plik:", os.path.abspath("sora_video.mp4"))

#

If, after these fixes, your jobs still stay at `status: in_progress` with `progress: 0` for a long time, that matches the forum reports of Sora 2 jobs hanging; the sources acknowledge the issue but don’t provide a documented workaround beyond waiting/retrying. [Sora API fails; Jobs stuck in_progress]

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@drifting coral Kapa.ai is still learning and improving, please let me know how I did by reacting below.

drifting coral Aug 16, 2026, 2:37 PM

#

@gentle aurora bo zwraca że mam hard limit

gentle auroraBOT Aug 16, 2026, 2:37 PM

#

Let me check the knowledge base for you again. One moment! :books:

#

Masz komunikat o hard limit, bo Twoja organizacja lub projekt osiągnęły ustawiony miesięczny limit wydatków albo limit użycia nadany przez OpenAI. Wtedy API zwraca błąd 429 z jednym z kodów: [API errors; Spend limits]

organization_spend_limit_exceeded – przekroczony twardy limit wydatków organizacji
project_spend_limit_exceeded – przekroczony twardy limit wydatków projektu
organization_usage_limit_exceeded – przekroczony miesięczny limit użycia nadany przez OpenAI (niezależny od Twoich własnych limitów)

Aby przywrócić działanie API: [Restore traffic]

Sprawdź dokładny error.code w odpowiedzi API.
Wejdź na:
- Limity organizacji: <https://platform.openai.com/settings/organization/limits>
- Ustawienia projektu (zakładka Limits): <https://platform.openai.com/settings/>
Jeśli to:
- organization_spend_limit_exceeded – podnieś lub usuń limit wydatków organizacji w Organization limits → Spend. [Spend limits]
- project_spend_limit_exceeded – podnieś lub usuń limit wydatków w ustawieniach danego projektu (Project → Limits → Spend). [Spend limits]
- organization_usage_limit_exceeded – poproś o wyższy approved usage limit na stronie limits (przycisk „request increase”). [Usage tiers]

#

Jeśli zamiast tego masz credit_balance_exhausted, musisz doładować konto w zakładce Billing. [Restore traffic]

Samo ponawianie requestów nie pomoże – trzeba zmienić limity lub dodać środki, albo poczekać na reset miesięcznego cyklu. [API errors]

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@drifting coral Kapa.ai is still learning and improving, please let me know how I did by reacting below.

drifting coral Aug 16, 2026, 2:38 PM

#

Jest @gentle aurora biling_hard_limit_usage

gentle auroraBOT Aug 16, 2026, 2:38 PM

#

Let me check the knowledge base for you again. One moment! :books:

#

Kod billing_hard_limit_usage oznacza, że osiągnąłeś twardy limit wydatków / użycia ustawiony dla Twojego konta (organizacji/projektu) i dalsze użycie API jest blokowane, dopóki czegoś nie zmienisz. To jest wariant błędu „insufficient_quota” związany z rozliczeniami.

W dokumentacji opisane są bardzo podobne przypadki (inne kody, ale ten sam mechanizm): [API errors; Restore traffic]

#

Sprawdź dokładny error.code i error.type w odpowiedzi API – u Ciebie jest billing_hard_limit_usage, więc to limit rozliczeniowy, nie chwilowy rate limit.
Wejdź na stronę limitów organizacji:
<https://platform.openai.com/settings/organization/limits>
i porównaj:
- Current usage (aktualne zużycie)
- z Monthly spend limit oraz Usage limit.
Jeśli masz ustawiony hard spend limit:
- Podnieś lub usuń limit w sekcji Spend (Organization lub Project) i zapisz zmiany. [Spend limits]
- Po propagacji zmian (może to chwilę potrwać) ruch API znowu zacznie działać. [Spend limits]
Jeśli problem wynika z OpenAI‑assigned usage limit (limit przydzielony przez OpenAI):
- Na tej samej stronie Limits użyj opcji request a higher approved usage limit. [Restore traffic; Usage tiers]
Upewnij się też, że nie masz wyczerpanych prepaid credits – wtedy pojawia się błąd credit_balance_exhausted i trzeba doładować konto w Billing → Overview. [API errors; Forum quota post]

Dopóki nie zmienisz limitów / nie dodasz środków albo nie nastąpi miesięczny reset, samo ponawianie requestów nic nie da. [API errors]

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@drifting coral Kapa.ai is still learning and improving, please let me know how I did by reacting below.

#Android TV On PC

They do not contain any information or guidance about installing Android TV itself on a computer, so I can’t reliably answer that part of your question based on these sources.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

Both the Sora 2 models and the Videos API are deprecated and scheduled to shut down on September 24, 2026. [Deprecations; Video generation guide]

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

The documents do not provide any official reasoning (such as technical, business, or safety reasons) for the April 26, 2026 shutdown of the Sora web/app product, so I can’t give a definitive explanation based on the available sources.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

So GPT‑5.6 Luna can handle very long conversations and documents, but it still has token and usage limits.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

There’s no list or discussion of “lost media” in the sense of missing or unrecoverable OpenAI content, so I can’t provide concrete examples beyond these normal, documented deprecations.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

1. Basic Python usage for Sora 2

3. Deprecation timing

If you can share the exact Python snippet you’re using and the error/status you get (e.g., HTTP code, video.status, video.error.message), I can map it more precisely to what the docs describe.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

Start job

Poll status

Download MP4

If, after these fixes, your jobs still stay at status: in_progress with progress: 0 for a long time, that matches the forum reports of Sora 2 jobs hanging; the sources acknowledge the issue but don’t provide a documented workaround beyond waiting/retrying. [Sora API fails; Jobs stuck in_progress]

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

Samo ponawianie requestów nie pomoże – trzeba zmienić limity lub dodać środki, albo poczekać na reset miesięcznego cyklu. [API errors]

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

Dopóki nie zmienisz limitów / nie dodasz środków albo nie nastąpi miesięczny reset, samo ponawianie requestów nic nie da. [API errors]

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

If you can share the exact Python snippet you’re using and the error/status you get (e.g., HTTP code, `video.status`, `video.error.message`), I can map it more precisely to what the docs describe.