refactor(agent): unify process_direct to return OutboundMessage
Merge process_direct() and process_direct_outbound() into a single interface returning OutboundMessage | None. This eliminates the dual-path detection logic in CLI single-message mode that relied on inspect.iscoroutinefunction to distinguish between the two APIs. Extract status rendering into a pure function build_status_content() in utils/helpers.py, decoupling it from AgentLoop internals. Made-with: Cursor
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@@ -192,6 +192,39 @@ def estimate_prompt_tokens_chain(
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return 0, "none"
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def build_status_content(
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*,
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version: str,
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model: str,
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start_time: float,
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last_usage: dict[str, int],
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context_window_tokens: int,
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session_msg_count: int,
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context_tokens_estimate: int,
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) -> str:
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"""Build a human-readable runtime status snapshot."""
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uptime_s = int(time.time() - start_time)
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uptime = (
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f"{uptime_s // 3600}h {(uptime_s % 3600) // 60}m"
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if uptime_s >= 3600
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else f"{uptime_s // 60}m {uptime_s % 60}s"
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)
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last_in = last_usage.get("prompt_tokens", 0)
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last_out = last_usage.get("completion_tokens", 0)
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ctx_total = max(context_window_tokens, 0)
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ctx_pct = int((context_tokens_estimate / ctx_total) * 100) if ctx_total > 0 else 0
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ctx_used_str = f"{context_tokens_estimate // 1000}k" if context_tokens_estimate >= 1000 else str(context_tokens_estimate)
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ctx_total_str = f"{ctx_total // 1024}k" if ctx_total > 0 else "n/a"
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return "\n".join([
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f"\U0001f408 nanobot v{version}",
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f"\U0001f9e0 Model: {model}",
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f"\U0001f4ca Tokens: {last_in} in / {last_out} out",
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f"\U0001f4da Context: {ctx_used_str}/{ctx_total_str} ({ctx_pct}%)",
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f"\U0001f4ac Session: {session_msg_count} messages",
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f"\u23f1 Uptime: {uptime}",
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])
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def sync_workspace_templates(workspace: Path, silent: bool = False) -> list[str]:
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"""Sync bundled templates to workspace. Only creates missing files."""
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from importlib.resources import files as pkg_files
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