Add chat-first workspace roadmap
Document the post-3.1 milestones needed to make the stable workspace product feel natural in chat-driven LLM interfaces. Add a follow-on roadmap for model-native file ops, workspace naming and discovery, tool profiles, shell output cleanup, and use-case recipes with smoke coverage. Link it from the README, vision doc, and completed workspace GA roadmap so the next phase is explicit. Keep the sequence anchored to the workspace-first vision and continue to treat disk tools as secondary rather than the main chat-facing surface.
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# `3.5.0` Chat-Friendly Shell Output
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Status: Planned
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## Goal
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Keep persistent PTY shells powerful, but make their output clean enough to feed
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directly back into a chat model.
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## Public API Changes
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Planned additions:
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- `pyro workspace shell read ... --plain`
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- `pyro workspace shell read ... --wait-for-idle-ms N`
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- matching Python SDK parameters:
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- `plain=True`
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- `wait_for_idle_ms=...`
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- matching MCP request fields on `shell_read`
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## Implementation Boundaries
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- keep raw PTY reads available for advanced clients
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- plain mode should strip terminal control sequences and normalize line endings
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- idle waiting should batch the next useful chunk of output without turning the
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shell into a separate job scheduler
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- keep cursor-based reads so polling clients stay deterministic
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## Non-Goals
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- no replacement of the PTY shell with a fake line-based shell
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- no automatic command synthesis inside shell reads
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- no shell-only workflow that replaces `workspace exec`, services, or file ops
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## Acceptance Scenarios
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- a chat agent can open a shell, write a command, and read back plain text
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output without ANSI noise
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- long-running interactive setup or debugging flows are readable in chat
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- shell output is useful as model input without extra client-side cleanup
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## Required Repo Updates
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- help text that makes raw versus plain shell reads explicit
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- examples that show a clean interactive shell loop
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- smoke coverage for at least one shell-driven debugging scenario
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