CATCH #746
DETECTED AUG 15, 2026 15:31 UTC
THE CATCHscore 10/10
EXHIBIT 746 · FLASH
Aug 15, 2026 15:31 UTC
pypi
openai
OpenAI's latest SDK update (3.1.0) includes hints of new `gpt-5.5` models, a `realtime` API, and mentions an upcoming Sora API shutdown.
✓ VERIFIED — BEAT THE ANNOUNCEMENT BY 58.1H · AUTO-VERIFIED AGAINST OPENAI NEWS
READY TO POST:
openai's new sdk 3.1.0 just dropped and it has some interesting strings! looks like gpt-5.5-2026-04-23 and gpt-5.5-pro-2026-04-23 might be in the works. 👀
buried in the latest openai sdk update: a `beta.realtime` api and a heads-up that the sora api is shutting down in september 2026. gotta keep an eye on these api changes!
EVIDENCE — the receipts
openai 3.0.0 -> 3.1.0: +220 strings, -546 strings, 50 interesting
[model_id] (3)
+ gpt-5.5-2026-04-23
+ gpt-5.5-pro-2026-04-23
+ py
with client.chat.completions.stream(
model="gpt-4o-2024-08-06",
messages=[...],
) as stream:
for event in stream:
if event.type == "content.delta":
print(event.delta, flush=True, end="")
[feature_flag] (4)
+ py
connection = client.beta.realtime.connect(...).enter()
# ...
connection.close()
+ py
connection = client.beta.responses.connect(...).enter()
# ...
connection.close()
+ py
connection = client.beta.realtime.connect(...).enter()
# ...
connection.close()
+ py
connection = client.beta.responses.connect(...).enter()
# ...
connection.close()
[sentence] (48)
+ py
with client.chat.completions.stream(
model="gpt-4o-2024-08-06",
messages=[...],
) as stream:
for event in stream:
if event.type == "content.delta":
print(event.delta, flush=True, end="")
+ py
connection = client.beta.realtime.connect(...).enter()
# ...
connection.close()
+ py
connection = client.beta.responses.connect(...).enter()
# ...
connection.close()
+ py
connection = client.beta.realtime.connect(...).enter()
# ...
connection.close()
+ py
connection = client.beta.responses.connect(...).enter()
# ...
connection.close()
+ - Based on your data it seems like you're trying to fine-tune a model for {ft_type}
- For classification, we recommend you try one of the faster and cheaper models, such as `ada`
- For classification, you can estimate the expected model performance by keeping a held out dataset, which is not used fo
+ - There are {len(long_indexes)} examples that are very long. These are rows: {long_indexes}
For conditional genera
caught by the 20-minute sweep ·
the live wire · all receipts