Tavus experienced elevated error rates across multiple services including perception, knowledge base, Gemini conversation LLM, objectives, and guardrails due to their cloud provider throttling model inference. The Conversational Video Interface was affected for 5.3 hours while the team worked with their cloud provider to restore deployments and resolve the throttling issue. All services were fully restored and the incident was resolved after deploying fixes and restoring all deployments.
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This incident has been resolved.
All deployments have been restored, and the issue with our cloud provider has been resolved. Services are now up and running, and we’re continuing to monitor to ensure stability.
We’ve identified the root cause of the issue and are working on deploying a fix.
Update: All services, except perception, are currently operating as expected.
Update: We’re experiencing service degradation due to an issue with our cloud provider that is throttling model inference. We’ve restored some deployments and are working with them to bring all systems back to normal.
We’re currently seeing elevated error rates across multiple parts of our stack, including perception, knowledge base, Gemini conversation LLM, objectives, and guardrails.
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