chore(config): remove the no-op analyst_concurrency_limit knob

The knob was accepted but inert — analysts run strictly sequentially and the
value was never used. Remove it rather than ship a misleading config key.
Parallel analyst execution is tracked for v0.3 (#634/#671/#487).

tradingagents/default_config.py

@@ -105,7 +105,6 @@ DEFAULT_CONFIG = _apply_env_overrides({
     "max_debate_rounds": 1,
     "max_risk_discuss_rounds": 1,
     "max_recur_limit": 100,
-    "analyst_concurrency_limit": 1,
     # News / data fetching parameters
     # Increase for longer lookback strategies or to broaden macro coverage;
     # decrease to reduce token usage in agent prompts.

tradingagents/graph/analyst_execution.py

@@ -15,7 +15,6 @@ class AnalystNodeSpec:
 @dataclass(frozen=True)
 class AnalystExecutionPlan:
     specs: list[AnalystNodeSpec]
-    concurrency_limit: int
 
 
 ANALYST_NODE_SPECS: dict[str, AnalystNodeSpec] = {
@@ -56,11 +55,7 @@ ANALYST_NODE_SPECS: dict[str, AnalystNodeSpec] = {
 
 def build_analyst_execution_plan(
     selected_analysts: Iterable[str],
-    concurrency_limit: int = 1,
 ) -> AnalystExecutionPlan:
-    if concurrency_limit < 1:
-        raise ValueError("analyst concurrency limit must be >= 1")
-
     specs: list[AnalystNodeSpec] = []
     for analyst_key in selected_analysts:
         spec = ANALYST_NODE_SPECS.get(analyst_key)
@@ -71,7 +66,7 @@ def build_analyst_execution_plan(
     if not specs:
         raise ValueError("at least one analyst must be selected")
 
-    return AnalystExecutionPlan(specs=specs, concurrency_limit=concurrency_limit)
+    return AnalystExecutionPlan(specs=specs)
 
 
 def get_initial_analyst_node(plan: AnalystExecutionPlan) -> str:

tradingagents/graph/setup.py

@@ -35,14 +35,12 @@ class GraphSetup:
         deep_thinking_llm: Any,
         tool_nodes: dict[str, ToolNode],
         conditional_logic: ConditionalLogic,
-        analyst_concurrency_limit: int = 1,
     ):
         """Initialize with required components."""
         self.quick_thinking_llm = quick_thinking_llm
         self.deep_thinking_llm = deep_thinking_llm
         self.tool_nodes = tool_nodes
         self.conditional_logic = conditional_logic
-        self.analyst_concurrency_limit = analyst_concurrency_limit
 
     def setup_graph(
         self, selected_analysts=("market", "social", "news", "fundamentals")
@@ -56,10 +54,7 @@ class GraphSetup:
                 - "news": News analyst
                 - "fundamentals": Fundamentals analyst
         """
-        plan = build_analyst_execution_plan(
-            selected_analysts,
-            concurrency_limit=self.analyst_concurrency_limit,
-        )
+        plan = build_analyst_execution_plan(selected_analysts)
 
         analyst_factories = {
             "market": lambda: create_market_analyst(self.quick_thinking_llm),

tradingagents/graph/trading_graph.py

@@ -110,7 +110,6 @@ class TradingAgentsGraph:
             self.deep_thinking_llm,
             self.tool_nodes,
             self.conditional_logic,
-            analyst_concurrency_limit=self.config.get("analyst_concurrency_limit", 1),
         )
 
         self.propagator = Propagator(