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We are building a lightweight .NET 10 agent CLI on top of Microsoft Agent Framework.
We are experimenting with integrating a remote HTTP-based sandbox service (similar to Daytona), and we want to avoid going too far in a direction that does not match the intended MAF design.
Our current MVP approach is:
a session-level sandbox manager
an AIContextProvider that injects an execute_code tool
chat/CLI commands for sandbox create/current/exec/upload/download
session-level sandbox reuse between the agent and the CLI
This works for now, but we are unsure whether this is the recommended long-term pattern.
Our main questions are:
For remote HTTP sandboxes, is AIContextProvider + execute_code the recommended integration pattern today?
Is Microsoft.Agents.AI.Tools.Shell mainly intended for local / docker / near-host shell execution rather than remote sandbox services?
Beyond Hyperlight, is there a plan for a more general sandbox / CodeAct provider abstraction for remote services?
If the community wants to build a Daytona-style integration, what is the recommended minimum scope?
We would appreciate guidance before we invest further in the abstraction.
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Hi team,
We are building a lightweight .NET 10 agent CLI on top of Microsoft Agent Framework.
We are experimenting with integrating a remote HTTP-based sandbox service (similar to Daytona), and we want to avoid going too far in a direction that does not match the intended MAF design.
Our current MVP approach is:
execute_codetoolThis works for now, but we are unsure whether this is the recommended long-term pattern.
Our main questions are:
AIContextProvider + execute_codethe recommended integration pattern today?Microsoft.Agents.AI.Tools.Shellmainly intended for local / docker / near-host shell execution rather than remote sandbox services?We would appreciate guidance before we invest further in the abstraction.
Thanks!
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