refactor(cli): move the live view to cli/display.py and the prompts to cli/prompts.py

- display.py holds the message buffer, layout, status tables and report panels, the analyst wall-time tracker (CLI-only, from graph/analyst_execution) and the one Console
- utils.py is renamed prompts.py, which is what it holds; its analyst list is ANALYST_CHOICES, apart from display's ANALYST_ORDER
- get_initial_analyst_node, a one-line helper with one caller, is inlined
- the wall-time tracker tests sit with the other display tests, and tests import cli.prompts as prompts

tradingagents/graph/analyst_execution.py

@@ -1,6 +1,5 @@
 from collections.abc import Iterable
 from dataclasses import dataclass
-from time import monotonic
 
 from tradingagents.agents.analysts import fundamentals_analyst, market_analyst, news_analyst
 
@@ -73,64 +72,3 @@ def build_analyst_execution_plan(
     return AnalystExecutionPlan(specs=specs)
 
 
-def get_initial_analyst_node(plan: AnalystExecutionPlan) -> str:
-    return plan.specs[0].agent_node
-
-
-class AnalystWallTimeTracker:
-    def __init__(self, plan: AnalystExecutionPlan):
-        self.plan = plan
-        self._started_at: dict[str, float] = {}
-        self._wall_times: dict[str, float] = {}
-
-    def mark_started(self, analyst_key: str, started_at: float | None = None) -> None:
-        if analyst_key not in ANALYST_NODE_SPECS:
-            raise ValueError(f"unknown analyst key: {analyst_key}")
-        self._started_at.setdefault(analyst_key, monotonic() if started_at is None else started_at)
-
-    def mark_completed(
-        self,
-        analyst_key: str,
-        completed_at: float | None = None,
-    ) -> None:
-        if analyst_key not in ANALYST_NODE_SPECS:
-            raise ValueError(f"unknown analyst key: {analyst_key}")
-        if analyst_key in self._wall_times:
-            return
-        started_at = self._started_at.get(analyst_key)
-        if started_at is None:
-            return
-        finished_at = monotonic() if completed_at is None else completed_at
-        self._wall_times[analyst_key] = max(0.0, finished_at - started_at)
-
-    def format_summary(self) -> str:
-        parts = []
-        for spec in self.plan.specs:
-            duration = self._wall_times.get(spec.key)
-            if duration is not None:
-                label = spec.agent_node.removesuffix(" Analyst")
-                parts.append(f"{label} {duration:.2f}s")
-        if not parts:
-            return "Analyst wall time: pending"
-        return "Analyst wall time: " + " | ".join(parts)
-
-
-def sync_analyst_tracker_from_chunk(
-    tracker: AnalystWallTimeTracker,
-    chunk: dict[str, str],
-    now: float | None = None,
-) -> None:
-    current_time = monotonic() if now is None else now
-    active_found = False
-
-    for spec in tracker.plan.specs:
-        has_report = bool(chunk.get(spec.report_key))
-
-        if has_report:
-            tracker.mark_started(spec.key, started_at=current_time)
-            tracker.mark_completed(spec.key, completed_at=current_time)
-            continue
-
-        if not active_found:
-            tracker.mark_started(spec.key, started_at=current_time)
-            active_found = True

tradingagents/llm_clients/api_key_env.py

@@ -2,7 +2,7 @@
 
 A single source of truth for which environment variable holds the API
 key for each supported LLM provider. Used by the CLI's interactive key
-prompt (cli/utils.ensure_api_key) and by anything else that needs to
+prompt (cli/prompts.ensure_api_key) and by anything else that needs to
 ask "does this provider require a key, and which env var is it?".
 
 When adding a new provider, register its env var here so the CLI flow

tradingagents/llm_clients/model_catalog.py

@@ -182,7 +182,7 @@ MODEL_OPTIONS: ProviderModeOptions = {
     # endpoint is now configurable via OLLAMA_BASE_URL, so the same labels
     # apply whether the user runs ollama-serve on localhost or against a
     # remote host. The actual resolved endpoint is surfaced separately by
-    # cli.utils.confirm_ollama_endpoint() right after provider selection.
+    # cli.prompts.confirm_ollama_endpoint() right after provider selection.
     # "Custom model ID" lets users pick any model they have pulled via
     # `ollama pull` beyond the three suggested defaults.
     "ollama": {