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debug: add logging to verify conversation history capture

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Added debug output to confirm:
- How many messages are in conversation_history
- How many assistant vs tool messages
- Preview of first assistant message content
- What the summarizer receives

This will verify that the full detailed reasoning (like portfolio
analysis, trade execution details) is being captured and passed
to the summarizer.

Output will show:
[DEBUG] Generating summary from N messages
[DEBUG] Assistant messages: X, Tool messages: Y
[DEBUG] First assistant message preview: ...
[DEBUG ReasoningSummarizer] Formatting N messages
[DEBUG ReasoningSummarizer] Breakdown: X assistant, Y tool
This commit is contained in:
Bill Ballou
2025-11-05 00:46:30 -05:00
parent abb9cd0726
commit 31e346ecbb
2 changed files with 15 additions and 0 deletions
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9
agent/base_agent/base_agent.py
View File

@@ -670,6 +670,15 @@ Summary:"""
session_duration = time.time() - session_start
# 7. Generate reasoning summary
# Debug: Log conversation history size
print(f"\n[DEBUG] Generating summary from {len(self.conversation_history)} messages")
assistant_msgs = [m for m in self.conversation_history if m.get('role') == 'assistant']
tool_msgs = [m for m in self.conversation_history if m.get('role') == 'tool']
print(f"[DEBUG] Assistant messages: {len(assistant_msgs)}, Tool messages: {len(tool_msgs)}")
if assistant_msgs:
first_assistant = assistant_msgs[0]
print(f"[DEBUG] First assistant message preview: {first_assistant.get('content', '')[:200]}...")
summarizer = ReasoningSummarizer(model=self.model)
summary = await summarizer.generate_summary(self.conversation_history)

6
agent/reasoning_summarizer.py
View File

@@ -71,6 +71,12 @@ Provide a concise summary that includes the actual trades executed:"""
Returns:
Formatted text representation with emphasis on trades
"""
# Debug: Log what we're formatting
print(f"[DEBUG ReasoningSummarizer] Formatting {len(reasoning_log)} messages")
assistant_count = sum(1 for m in reasoning_log if m.get('role') == 'assistant')
tool_count = sum(1 for m in reasoning_log if m.get('role') == 'tool')
print(f"[DEBUG ReasoningSummarizer] Breakdown: {assistant_count} assistant, {tool_count} tool")
formatted_parts = []
trades_executed = []