opentui(phase3): launcher integration — HERMES_TUI_ENGINE dual-engine
hermes --tui launches the native OpenTUI engine (Bun) when HERMES_TUI_ENGINE=opentui (env) or display.tui_engine=opentui (config); Ink stays the default and the shipping path is untouched. - _resolve_tui_engine() (env > config > ink); refuses opentui on Windows/Termux (no Bun) -> falls back to ink with a notice. - _make_opentui_argv() -> [bun, src/entry.real.tsx] (no build step). - _bun_bin() with HERMES_BUN override. - Branch at top of _make_tui_argv BEFORE _ensure_tui_node (Bun-only host must not bootstrap Node). - Gate _launch_tui NODE_OPTIONS/--max-old-space-size on engine==ink (Bun is JSC; the V8 flag errors/ignores). Verified end-to-end via tmux: real hermes --tui -> Bun -> OpenTUI -> real Python gateway streamed a real reply. No-flag default still ink.
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@@ -191,23 +191,9 @@ def build_system_prompt_parts(agent: Any, system_message: Optional[str] = None)
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)
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if toolset
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}
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# Focus mode (opt-in) demotes non-coding skill categories to
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# names-only in the index (never hidden — skill_view/skills_list
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# reach everything, and every name stays visible for recall). The
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# default coding posture leaves the index untouched.
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_compact_cats = frozenset()
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try:
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from agent.coding_context import coding_compact_skill_categories
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_compact_cats = coding_compact_skill_categories(
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platform=agent.platform, cwd=resolve_context_cwd()
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)
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except Exception:
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_compact_cats = frozenset()
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skills_prompt = _r.build_skills_system_prompt(
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available_tools=agent.valid_tool_names,
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available_toolsets=avail_toolsets,
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compact_categories=_compact_cats or None,
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)
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else:
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skills_prompt = ""
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@@ -235,26 +221,6 @@ def build_system_prompt_parts(agent: Any, system_message: Optional[str] = None)
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if _env_hints:
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stable_parts.append(_env_hints)
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# Coding posture (base Hermes, any interactive coding surface in a code
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# workspace — see agent/coding_context.py). The operating brief + the live
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# git/workspace snapshot are built once here and cached for the session;
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# the snapshot is never re-probed per turn (that would break the prompt
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# cache), so the brief tells the model to re-check git before relying on it.
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if agent.valid_tool_names:
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try:
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from agent.coding_context import coding_system_blocks
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stable_parts.extend(
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coding_system_blocks(
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platform=agent.platform,
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cwd=resolve_context_cwd(),
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model=agent.model,
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)
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)
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except Exception:
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# Coding-context probing must never block prompt build.
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pass
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# Local Python toolchain probe — names python/pip/uv/PEP-668 state when
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# something is non-default so the model can pick the right install
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# strategy without discovering by failure. Emits a single line; emits
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