✨ Build real-time conversational agents with Gemini 3.1 Flash Live. Improve user interactions with technology that supports natural conversations across 90+ languages, accent changes, and multimodal inputs.

🇧🇷🇧🇷🇧🇷🇧🇷👏🏻 Please give us 30FPS when using the assistant camera and the glasses and what not

The live API is throwing error 1006 from last 4 days no matter which way I built my App, tried direct client to server, ADK-python, express websockets all the methods. Tried piping with AI studio and vertex AI....both are throwing the same error. Please help!

Do that we'll just have bunch of low IQ Flash Live backed conversations 😭 maybe focus on the model itself first before poking here and there?

Handling full-duplex multimodal streaming introduces severe P99 latency constraints, especially with real-time accent adaptation. Are these interactions leveraging WebRTC for audio frame ingestion, or does the architecture rely on chunked WebSocket payloads to maintain state synchronization with visual inputs?

90+ languages with accent handling in a live agent is the spec that makes the "AI doesn't work for our market" objection a lot harder to stand behind.

This is cool I also tried it with @livekit

Hey there!

Please help me. I had authentication enabled on my Google account and also had a 8 digit code. I have both of these. I have the last password of the account and the mobile number linked to the account. Please help me. @googleaccount

The 90+ language support with accent adaptation is compelling for global deployment. Curious how Gemini 3.1 Flash Live handles context retention across long conversations — does latency stay consistent as sessions grow? #ConversationalAI #Gemini

Voice latency is not the hard part anymore. Reliability under messy human input is.