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Replying to @GoogleAIStudio
very excited by the progress we are making on Gemini Managed Agents!!
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Replying to @GoogleAIStudio
You guys honestly suck. I was using the recent release 05, and everything worked fine. I updated to the newer release, and it didn't work. I've been debugging for hours trying to find out what the issue is. I've updated everything, but it's still not working. The same thing happened when I updated from 3.6 to 3.8 for specific use cases. It just doesn't work.
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Replying to @GoogleAIStudio
@grok explain what I can do with this, as a low Coder who's building apps
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Replying to @GoogleAIStudio
Persistent environments raise an interesting memory question: when access to a source is revoked, what happens to facts already compacted from it? Permission changes need to reach the agent's working context too. What do you think about that?
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Replying to @GoogleAIStudio
This is the part that actually matters. A sandbox that lasts. Files I can pull out. Secrets the model never sees. That’s the difference between a demo agent and something I can actually ship. Trying it tonight.
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Replying to @GoogleAIStudio
So I can use gemini-3.5-flash-lite on antigravity managed agents, but not in antigravity ide/cli...
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Replying to @GoogleAIStudio
托管凭证和持久化环境补上后,agent 才更像能长期运行的服务,而不是每次都从零启动的 demo。
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Replying to @GoogleAIStudio
El salto importante aquí no es solo ejecutar tareas, sino hacerlo con límites operativos claros: entorno aislado, archivos persistentes y credenciales que el modelo no ve. En auditoría y finanzas, esa separación puede convertir a un agente en un colaborador útil sin sacrificar control, evidencia ni trazabilidad.
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Replying to @GoogleAIStudio
managed credentials 这块是咋管的,会不会又是锁死在 GCP 里?
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Replying to @GoogleAIStudio
Decoupling agent file handling via the new Files API on top of persistent environments makes multi-turn pipelines infinitely cleaner. Being able to inspect, upload, and extract artifacts between interactions without maintaining custom Docker orchestration glue—plus native remote MCP auth—makes this a huge leap toward reliable production workflows.
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Replying to @GoogleAIStudio
All ok but release the model gemini 4 pro
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Replying to @GoogleAIStudio
Managed credentials are the detail that makes this feel practical. The harness matters, but giving agents useful tools without turning access into a security blind spot is the harder engineering problem.
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Replying to @GoogleAIStudio
managed credentials is the key part
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Replying to @GoogleAIStudio
@grok 翻译全文
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