CATCH #809
DETECTED AUG 18, 2026 22:12 UTC
THE CATCHscore 10/10
EXHIBIT 809 · FLASH
Aug 18, 2026 22:12 UTC
pypi
openai
OpenAI's latest `openai` package (3.3.0) introduces a new `gpt-4o-2024-08-06` model ID, new beta 'realtime' and 'responses' connection features, and adds `us`, `eu`, and `ae` regional API endpoints for data residency.
READY TO POST:
Looks like a new gpt-4o version is coming: 'gpt-4o-2024-08-06' just showed up in the latest openai python package. Keep an eye out!
OpenAI's python client just dropped 3.3.0 with beta realtime/responses connections and regional API endpoints (us, eu, ae). Data residency options for OpenAI are expanding.
EVIDENCE — the receipts
openai 3.2.0 -> 3.3.0: +96 strings, -552 strings, 46 interesting
[model_id] (1)
+ 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()
[endpoint] (3)
+ https://ae.api.openai.com/v1
+ https://eu.api.openai.com/v1
+ https://us.api.openai.com/v1
[sentence] (43)
+ 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
caught by the 20-minute sweep ·
the live wire · all receipts