feat(027-checkpoint-resume-contrib): add --checkpoint CLI flag (default: disabled)

cli/main.py

@@ -926,7 +926,7 @@ def format_tool_args(args, max_length=80) -> str:
         return result[:max_length - 3] + "..."
     return result
 
-def run_analysis():
+def run_analysis(checkpoint: bool = False):
     # First get all user selections
     selections = get_user_selections()
 
@@ -943,6 +943,7 @@ def run_analysis():
     config["openai_reasoning_effort"] = selections.get("openai_reasoning_effort")
     config["anthropic_effort"] = selections.get("anthropic_effort")
     config["output_language"] = selections.get("output_language", "English")
+    config["checkpoint_enabled"] = checkpoint
 
     # Create stats callback handler for tracking LLM/tool calls
     stats_handler = StatsCallbackHandler()
@@ -1197,8 +1198,10 @@ def run_analysis():
 
 
 @app.command()
-def analyze():
-    run_analysis()
+def analyze(
+    checkpoint: bool = typer.Option(False, "--checkpoint", help="Enable checkpoint/resume: save state after each node so crashed runs can resume."),
+):
+    run_analysis(checkpoint=checkpoint)
 
 
 if __name__ == "__main__":

tradingagents/default_config.py

@@ -15,6 +15,9 @@ DEFAULT_CONFIG = {
     "google_thinking_level": None,      # "high", "minimal", etc.
     "openai_reasoning_effort": None,    # "medium", "high", "low"
     "anthropic_effort": None,           # "high", "medium", "low"
+    # Checkpoint/resume: when True, LangGraph saves state after each node
+    # so a crashed run can resume from the last successful step.
+    "checkpoint_enabled": False,
     # Output language for analyst reports and final decision
     # Internal agent debate stays in English for reasoning quality
     "output_language": "English",