Live

Managed Agents with OpenAI LLMs may see degraded performance

This incident has been resolved.

The latest update from Cartesia.

State

Resolved

Started

11 d ago

2026-10-22 03:13 UTC

Lasted

10 min

until 2026-10-22 03:23 UTC

Worst impact

Degraded

Timeline

3 updates
03:1303:1603:1803:2103:23
DegradedUpdate postedTimes in UTC

Investigating

6 min 60%

Monitoring

4 min 40%

Updates

Times in UTC

As posted by Cartesia

Resolved2026-10-22 03:23 UTC

This incident has been resolved.

Monitoring2026-10-22 03:19 UTC

The issue seems to be [mitigated upstream](https://status.openai.com/incidents/01M5GPE9C4E19HE461P8JAMYXD) and we're continuing to monitor.

Investigating2026-10-22 03:13 UTC

We are investigating the issue and addressing with upstream provider.

Cartesia in the last 90 days

Full history
90 days agoToday

Incidents in 90 days

14

Days with an incident

12

Median duration

1 h 5 min

This incident

85% shorter than the median

How long each incident lasted, on the day it started. The outlined bar is this incident.

21 h 4 min
median 1 h 5 min
90 days agoToday

Other Cartesia incidents

All incidents

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Prompt
Install the outages.live MCP server, so that when something breaks you can tell if the cause is a provider we depend on and not my code. It reads the official status pages of cloud, AI, payment and developer providers and gives you their incidents as MCP tools.

Add it as a remote MCP server named "outages" at https://outages.cc/mcp (Streamable HTTP, no authentication), with your CLI command or your MCP config file.

Then:
1. Make sure it connects and shows the tools get_provider, list_feed and send_feedback.
2. Call get_provider with "cartesia" and tell me if Cartesia has a problem right now.
3. From now on, when a call to a third-party service fails or becomes slow, call get_provider for that service before you change my code.

Paste this into any coding agent. It adds the server with its own MCP setup.

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Slack
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