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Fix conversation history duplication and optimize file embedding

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This major refactoring addresses critical bugs in conversation history management
and significantly improves token efficiency through intelligent file embedding:

**Key Improvements:**
• Fixed conversation history duplication bug by centralizing reconstruction in server.py
• Added intelligent file filtering to prevent re-embedding files already in conversation history
• Centralized file processing logic in BaseTool._prepare_file_content_for_prompt()
• Enhanced log monitoring with better categorization and file embedding visibility
• Updated comprehensive test suite to verify new architecture and edge cases

**Architecture Changes:**
• Removed duplicate conversation history reconstruction from tools/base.py
• Conversation history now handled exclusively by server.py:reconstruct_thread_context
• All tools now use centralized file processing with automatic deduplication
• Improved token efficiency by embedding unique files only once per conversation

**Performance Benefits:**
• Reduced token usage through smart file filtering
• Eliminated redundant file embeddings in continued conversations
• Better observability with detailed debug logging for file operations

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Fahad
2025-06-11 11:40:12 +04:00
parent 4466d1d1fe
commit 5a94737516
11 changed files with 501 additions and 84 deletions
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6
tests/test_prompt_regression.py
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@@ -117,7 +117,7 @@ class TestPromptRegression:
mock_create_model.return_value = mock_model
# Mock file reading
with patch("tools.codereview.read_files") as mock_read_files:
with patch("tools.base.read_files") as mock_read_files:
mock_read_files.return_value = "def main(): pass"
result = await tool.execute(
@@ -205,7 +205,7 @@ class TestPromptRegression:
mock_create_model.return_value = mock_model
# Mock file reading
with patch("tools.analyze.read_files") as mock_read_files:
with patch("tools.base.read_files") as mock_read_files:
mock_read_files.return_value = "class UserController: ..."
result = await tool.execute(
@@ -287,7 +287,7 @@ class TestPromptRegression:
mock_model.generate_content.return_value = mock_model_response()
mock_create_model.return_value = mock_model
with patch("tools.analyze.read_files") as mock_read_files:
with patch("tools.base.read_files") as mock_read_files:
mock_read_files.return_value = "Content"
result = await tool.execute(