Thales Maciel
eecfd7a7d7
Expose stable MCP/server tool profiles so chat hosts can start narrow and widen only when needed. This adds vm-run, workspace-core, and workspace-full across the CLI serve path, Pyro.create_server(), and the package-level create_server() factory while keeping workspace-full as the default. Register profile-specific tool sets from one shared contract mapping, and narrow the workspace-core schemas so secrets, network policy, shells, services, snapshots, and disk tools do not leak into the default persistent chat profile. The full surface remains available unchanged under workspace-full. Refresh the public docs and examples around the profile progression, add a canonical OpenAI Responses workspace-core example, mark the 3.4.0 roadmap milestone done, and verify with uv lock, UV_CACHE_DIR=.uv-cache make check, UV_CACHE_DIR=.uv-cache make dist-check, and a real guest-backed workspace-core smoke for create, file write, exec, diff, export, reset, and delete.
77 lines
3.3 KiB
Markdown
77 lines
3.3 KiB
Markdown
# LLM Chat Ergonomics Roadmap
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This roadmap picks up after the completed workspace GA plan and focuses on one
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goal:
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make the core agent-workspace use cases feel trivial from a chat-driven LLM
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interface.
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Current baseline is `3.4.0`:
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- the stable workspace contract exists across CLI, SDK, and MCP
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- one-shot `pyro run` still exists as the narrow entrypoint
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- workspaces already support seeding, sync push, exec, export, diff, snapshots,
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reset, services, PTY shells, secrets, network policy, and published ports
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- stopped-workspace disk tools now exist, but remain explicitly secondary
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## What "Trivial In Chat" Means
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The roadmap is done only when a chat-driven LLM can cover the main use cases
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without awkward shell choreography or hidden host-side glue:
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- cold-start repo validation
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- repro plus fix loops
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- parallel isolated workspaces for multiple issues or PRs
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- unsafe or untrusted code inspection
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- review and evaluation workflows
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More concretely, the model should not need to:
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- patch files through shell-escaped `printf` or heredoc tricks
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- rely on opaque workspace IDs without a discovery surface
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- consume raw terminal control sequences as normal shell output
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- choose from an unnecessarily large tool surface when a smaller profile would
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work
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## Locked Decisions
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- keep the workspace product identity central; do not drift toward CI, queue,
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or runner abstractions
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- keep disk tools secondary and do not make them the main chat-facing surface
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- prefer narrow tool profiles and structured outputs over more raw shell calls
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- every milestone below must update CLI, SDK, and MCP together
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- every milestone below must also update docs, help text, runnable examples,
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and at least one real smoke scenario
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## Milestones
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1. [`3.2.0` Model-Native Workspace File Ops](llm-chat-ergonomics/3.2.0-model-native-workspace-file-ops.md) - Done
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2. [`3.3.0` Workspace Naming And Discovery](llm-chat-ergonomics/3.3.0-workspace-naming-and-discovery.md) - Done
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3. [`3.4.0` Tool Profiles And Canonical Chat Flows](llm-chat-ergonomics/3.4.0-tool-profiles-and-canonical-chat-flows.md) - Done
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4. [`3.5.0` Chat-Friendly Shell Output](llm-chat-ergonomics/3.5.0-chat-friendly-shell-output.md)
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5. [`3.6.0` Use-Case Recipes And Smoke Packs](llm-chat-ergonomics/3.6.0-use-case-recipes-and-smoke-packs.md)
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Completed so far:
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- `3.2.0` added model-native `workspace file *` and `workspace patch apply` so chat-driven agents
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can inspect and edit `/workspace` without shell-escaped file mutation flows.
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- `3.3.0` added workspace names, key/value labels, `workspace list`, `workspace update`, and
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`last_activity_at` tracking so humans and chat-driven agents can rediscover and resume the right
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workspace without external notes.
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- `3.4.0` added stable MCP/server tool profiles with `vm-run`, `workspace-core`, and
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`workspace-full`, plus canonical profile-based OpenAI and MCP examples so chat hosts can start
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narrow and widen only when needed.
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## Expected Outcome
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After this roadmap, the product should still look like an agent workspace, not
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like a CI runner with more isolation.
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The intended model-facing shape is:
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- one-shot work starts with `vm_run`
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- persistent work moves to a small workspace-first contract
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- file edits are structured and model-native
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- workspace discovery is human and model-friendly
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- shells are readable in chat
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- the five core use cases are documented and smoke-tested end to end
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