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fix: initialize agent properly in API mode

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Fixed critical bug where ModelDayExecutor._initialize_agent() created
a BaseAgent but never called agent.initialize(), leaving self.model=None.
This caused 'NoneType' object has no attribute 'bind' error when
run_trading_session() tried to create the langchain agent.

Changes:
- Made _initialize_agent() async
- Added await agent.initialize() call
- Updated call site to await async function

Now properly initializes MCP client, tools, and AI model before
executing trading sessions, matching the working CLI mode pattern.
This commit is contained in:
Bill Ballou
2025-11-02 19:39:43 -05:00
parent fb32bb12c5
commit dbd8f0141c
1 changed files with 5 additions and 2 deletions
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7
api/model_day_executor.py
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@@ -126,7 +126,7 @@ class ModelDayExecutor:
os.environ["RUNTIME_ENV_PATH"] = self.runtime_config_path os.environ["RUNTIME_ENV_PATH"] = self.runtime_config_path
# Initialize agent # Initialize agent
agent = self._initialize_agent() agent = await self._initialize_agent()
# Run trading session # Run trading session
logger.info(f"Running trading session for {self.model_sig} on {self.date}") logger.info(f"Running trading session for {self.model_sig} on {self.date}")
@@ -209,7 +209,7 @@ class ModelDayExecutor:
"""Execute model-day simulation (sync entry point).""" """Execute model-day simulation (sync entry point)."""
return self.execute_sync() return self.execute_sync()
def _initialize_agent(self): async def _initialize_agent(self):
""" """
Initialize trading agent with config. Initialize trading agent with config.
@@ -259,6 +259,9 @@ class ModelDayExecutor:
# - Database initialization is handled by JobManager # - Database initialization is handled by JobManager
# - File-based position tracking is only for standalone/CLI mode # - File-based position tracking is only for standalone/CLI mode
# Initialize MCP client and AI model
await agent.initialize()
return agent return agent
def _create_trading_session(self, cursor) -> int: def _create_trading_session(self, cursor) -> int: