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refactor: Optimize agent component for efficiency and readability #5593

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Arikatakur
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Overview

This PR refactors the LCAgentComponent and LCToolsAgentComponent classes to improve code efficiency, readability, and maintainability. The changes focus on reducing redundancy, optimizing data handling, improving error handling, and simplifying logic.

Changes Made

  1. Reduced Redundancy:

    • Removed repeated hasattr checks by storing results in variables.
    • Simplified the get_agent_kwargs method to return a single dictionary.

  2. Optimized Data Handling:

    • Used list comprehensions and generators to avoid unnecessary data copies.
    • Cached repeated computations like data_to_messages(self.chat_history).

  3. Improved Error Handling:

    • Consolidated exception handling in the run_agent method.
    • Added logging for unexpected errors to make debugging easier.

  4. Simplified Logic:

    • Removed deprecated features like agent_description.
    • Combined build_agent and create_agent_runnable logic where applicable.

  5. Enhanced Readability:

    • Added docstrings to methods for better documentation.
    • Used consistent formatting and meaningful variable names.

Why These Changes?

  • Efficiency: The refactored code reduces unnecessary computations and improves performance.
  • Readability: The changes make the code easier to understand and maintain.

Impact

  • Performance: The agent component should now run faster due to reduced redundancy and optimized data handling.
  • Debugging: Improved error handling and logging make it easier to diagnose issues.
  • Future Development: The simplified logic and improved readability make it easier to add new features or modify existing ones.

Arikatakur and others added 8 commits January 8, 2025 16:43
@Arikatakur
fix: filter out empty messages in chat history to resolve "String too…
cc9af14 
… short" error (langflow-ai#5505)
@Arikatakur
fix: filter out empty messages in chat history (langflow-ai#5505)
2f947d9
@Arikatakur
style: fix Ruff violations in agent.py (TRY003, EM101)
059f9d8
@Arikatakur
Merge branch 'langflow-ai:main' into main
ec041b2
@Arikatakur
refactor: Optimize agent component for efficiency and readability
1ecf627 
- Reduced redundancy by avoiding repeated `hasattr` checks and simplifying `get_agent_kwargs`.
- Improved error handling with consolidated exceptions and early validation.
- Enhanced readability with docstrings and consistent formatting.
- Removed deprecated features and combined redundant methods.
@autofix-ci
[autofix.ci] apply automated fixes
388ef5f
@Arikatakur
Merge branch 'langflow-ai:main' into main
d03de32
@Arikatakur
refactor: Optimize agent component for efficiency and readability
cea0e90 
- Reduced redundancy by avoiding repeated `hasattr` checks and simplifying `get_agent_kwargs`.
- Improved error handling with consolidated exceptions and early validation.
- Enhanced readability with docstrings and consistent formatting.
- Removed deprecated features and combined redundant methods.
@dosubot dosubot bot added the size:L This PR changes 100-499 lines, ignoring generated files. label Jan 8, 2025
@github-actions github-actions bot added the refactor Maintenance tasks and housekeeping label Jan 8, 2025
@github-actions github-actions bot added refactor Maintenance tasks and housekeeping and removed refactor Maintenance tasks and housekeeping labels Jan 8, 2025
@codspeed-hq CodSpeed HQ
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codspeed-hq bot commented Jan 8, 2025 •
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CodSpeed Performance Report

Merging #5593 will degrade performances by 31.88%

Comparing Arikatakur:main (22b8d57) with main (6b04359)

Summary

❌ 1 regressions
✅ 14 untouched benchmarks

⚠️ Please fix the performance issues or acknowledge them on CodSpeed.

Benchmarks breakdown

Benchmark main Arikatakur:main Change
❌ test_successful_run_with_input_type_any 175.2 ms 257.1 ms -31.88%

@github-actions github-actions bot added refactor Maintenance tasks and housekeeping and removed refactor Maintenance tasks and housekeeping labels Jan 8, 2025
ogabrielluiz
ogabrielluiz requested changes Jan 13, 2025
View reviewed changes
src/backend/base/langflow/base/agents/agent.py
Comment on lines +126 to +130
filtered_messages = [msg for msg in messages if msg.get("content", "").strip()]
if not filtered_messages:
error_message = "No valid messages to process in chat history."
raise ValueError(error_message)
input_dict["chat_history"] = filtered_messages
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There's no problem in having 0 messages.

edwinjosechittilappilly
edwinjosechittilappilly requested changes Jan 13, 2025
View reviewed changes
src/backend/base/langflow/base/agents/agent.py

if hasattr(self, "chat_history") and self.chat_history:
messages = data_to_messages(self.chat_history)
filtered_messages = [msg for msg in messages if msg.get("content", "").strip()]
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Error details:
AttributeError
Details: 'HumanMessage' object has no attribute 'get'

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@edwinjosechittilappilly edwinjosechittilappilly edwinjosechittilappilly requested changes

@ogabrielluiz ogabrielluiz ogabrielluiz requested changes

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@Arikatakur @edwinjosechittilappilly @ogabrielluiz