Issue #901: Changes from Claude #902
Conversation
- Fixed issue where self-reflection was not working when tools were present - Added tools=formatted_tools parameter to completion calls during reflection regeneration - Self-reflection now maintains tool access throughout the reflection process - Backward compatibility maintained, no existing features removed - Resolves issue #901 🤖 Generated with [Claude Code](https://claude.ai/code) Co-authored-by: Mervin Praison <MervinPraison@users.noreply.github.com>
WalkthroughThe changes add the Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant Agent/LLM
participant Tool
User->>Agent/LLM: Submit prompt (with self-reflection enabled)
Agent/LLM->>Agent/LLM: Generate initial response
Agent/LLM->>Agent/LLM: Self-reflection step (regenerate with tools)
Agent/LLM->>Tool: (If needed) Call tool during regeneration
Tool-->>Agent/LLM: Return tool result
Agent/LLM-->>User: Return final response (after self-reflection)
Possibly related PRs
Suggested labels
Poem
✨ Finishing Touches
Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. 🪧 TipsChatThere are 3 ways to chat with CodeRabbit:
SupportNeed help? Create a ticket on our support page for assistance with any issues or questions. Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments. CodeRabbit Commands (Invoked using PR comments)
Other keywords and placeholders
CodeRabbit Configuration File (
|
|
@claude review this pull request and do a detailed analysis and fix this if the existing code doesn't have the solution implemented. Making sure it has backward compatibility, no existing features removed. After making those changes, again review the applied changes. Use @web to search if you dont know any information or to find the latest documentation or to find the latest version. Run the code if you think you need to run it to test it. Minimal code change to start with if required any changes. |
|
Claude encountered an error —— View job I'll analyze this and get back to you. |
![gemini-code-assist[bot]](https://avatars.githubusercontent.com/in/956858?s=60&v=4){kind=small}
There was a problem hiding this comment.
Summary of Changes
Hello @MervinPraison, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request addresses Issue #901 by resolving a critical bug where the self-reflection capability of the LLM was not properly integrating with external tools. The primary change involves ensuring that tool definitions are correctly passed to the LLM's response generation function, thereby enabling agents to leverage tools during their self-reflection cycles. This is supported by the addition of several new test cases designed to thoroughly verify the functionality of self-reflection with tools in diverse operational contexts.
Highlights
- Enabled Tool Usage in LLM Self-Reflection: The core
get_responsemethod insrc/praisonai-agents/praisonaiagents/llm/llm.pynow correctly passes thetoolsargument to the underlying LLM calls. This enables the LLM to utilize defined tools during its self-reflection process, addressing a previous limitation. - Comprehensive Test Suite for Self-Reflection with Tools: Multiple new test files (
test_fix_simple.py,test_fix_verification.py,test_llm_direct.py,test_self_reflection_with_tools.py) have been added. These tests validate the self-reflection with tools functionality across various scenarios, including direct LLM calls, single agent setups, and multi-agent workflows, using different tools likecalculatorandduckduckgo_search.
Using Gemini Code Assist
The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.
Invoking Gemini
You can request assistance from Gemini at any point in your pull request via creating an issue comment (i.e. comment on the pull request page) using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands.
| Feature | Command | Description |
|---|---|---|
| Code Review | /gemini review |
Performs a code review for the current pull request in its current state. |
| Pull Request Summary | /gemini summary |
Provides a summary of the current pull request in its current state. |
| Comment | @gemini-code-assist | Responds in comments when explicitly tagged, both in issue comments and review comments. |
| Help | /gemini help |
Displays a list of available commands. |
Customization
To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.
Limitations & Feedback
Gemini Code Assist is currently in preview and may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments to provide feedback.
You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.
Footnotes
-
Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩
There was a problem hiding this comment.
Code Review
This pull request introduces a fix to ensure tools are available during the self-reflection process in the LLM class. The core logic change in llm.py appears correct and directly addresses the issue. The PR also adds several new test files to verify the fix. Refactor the tests to use assert statements, which will make them compatible with standard testing frameworks like pytest, improving the project's test automation and CI/CD capabilities.
| if response: | ||
| print("\n✅ SUCCESS: Self-reflection with tools is working!") | ||
| return True | ||
| else: | ||
| print("\n❌ FAILED: Self-reflection with tools is not working") | ||
| return False |
There was a problem hiding this comment.
This test function uses print statements and returns a boolean instead of using assertions. This pattern is more suited for a manual verification script than an automated test. For better integration with testing frameworks like pytest and to ensure failures are properly reported in CI/CD pipelines, use assert statements to validate outcomes.
assert response, "Self-reflection with tools failed to produce a response."| try: | ||
| result = agents.start() | ||
|
|
||
| if result: | ||
| print(f"\n✅ SUCCESS: Self-reflection with tools is working!") | ||
| print(f"Result: {result}") | ||
| return True | ||
| else: | ||
| print(f"\n❌ FAILED: No result returned") | ||
| return False | ||
|
|
||
| except Exception as e: | ||
| print(f"\n❌ ERROR: {str(e)}") | ||
| return False |
There was a problem hiding this comment.
This test uses a try...except block and returns booleans, which is not ideal for an automated test. Test frameworks like pytest are designed to handle exceptions as test failures. Let exceptions propagate and use assert statements for checks for more robust tests and better integration with CI systems.
result = agents.start()
assert result, "Self-reflection with tools failed to produce a result."| if response: | ||
| print("\n✅ SUCCESS: LLM self-reflection with tools is working!") | ||
| return True | ||
| else: | ||
| print("\n❌ FAILED: LLM self-reflection with tools is not working") | ||
| return False |
There was a problem hiding this comment.
This test function should use an assert statement for verification instead of returning a boolean. This aligns with standard testing practices and allows test runners to correctly report failures.
assert response, "LLM self-reflection with tools failed to produce a response."| result = agents.start() | ||
| print(f"Result with tools: {result}") | ||
| return result |
There was a problem hiding this comment.
This test function should use an assert statement to check the result, rather than just returning it. This makes the test's success condition explicit and allows test runners to properly detect failures.
| result = agents.start() | |
| print(f"Result with tools: {result}") | |
| return result | |
| result = agents.start() | |
| assert result, "Self-reflection with tools failed to produce a result." |
| def test_self_reflection_without_tools(): | ||
| """Test self-reflection without tools - should work (baseline)""" |
There was a problem hiding this comment.
This function should use an assert statement to validate the outcome. This ensures consistency in testing practices across the file.
| def test_self_reflection_without_tools(): | |
| """Test self-reflection without tools - should work (baseline)""" | |
| assert result, "Self-reflection without tools failed to produce a result." |
| if __name__ == "__main__": | ||
| success = test_self_reflection_fix_verification() | ||
|
|
||
| if success: | ||
| print("\n🎉 Fix verification successful! Self-reflection now works with tools.") | ||
| else: | ||
| print("\n💥 Fix verification failed. Self-reflection with tools is still not working.") No newline at end of file |
There was a problem hiding this comment.
With the proposed change to use assertions in test_self_reflection_fix_verification, the function will raise an AssertionError on failure instead of returning False. Update the if __name__ == "__main__" block to handle this, for example by wrapping the test call in a try...except AssertionError block. If using a test runner like pytest, this block can be removed.
| if __name__ == "__main__": | ||
| print("Testing self-reflection fix...") | ||
|
|
||
| # Test without tools (should work) | ||
| result_without_tools = test_self_reflection_without_tools() | ||
|
|
||
| # Test with tools (should work after fix) | ||
| result_with_tools = test_self_reflection_with_tools() | ||
|
|
||
| print("\n=== Test Summary ===") | ||
| print(f"Without tools: {'SUCCESS' if result_without_tools else 'FAILED'}") | ||
| print(f"With tools: {'SUCCESS' if result_with_tools else 'FAILED'}") | ||
|
|
||
| if result_with_tools: | ||
| print("\n✅ Fix verified: Self-reflection now works with tools!") | ||
| else: | ||
| print("\n❌ Fix failed: Self-reflection still not working with tools") No newline at end of file |
There was a problem hiding this comment.
With the proposed changes to use assertions, the test functions will no longer return booleans. Update the if __name__ == "__main__" block to handle AssertionError exceptions to correctly report failures when run as a script. If using a test runner like pytest, this block can be removed entirely.
![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
There was a problem hiding this comment.
Actionable comments posted: 0
🧹 Nitpick comments (3)
src/praisonai-agents/test_fix_verification.py (1)
43-43: Fix unnecessary f-string prefixes.The static analysis tool correctly identified unnecessary f-string prefixes on these lines since they don't contain any placeholders.
Apply this diff to remove the unnecessary f-string prefixes:
- print(f"\n✅ SUCCESS: Self-reflection with tools is working!") + print("\n✅ SUCCESS: Self-reflection with tools is working!")- print(f"\n❌ FAILED: No result returned") + print("\n❌ FAILED: No result returned")Also applies to: 47-47
src/praisonai-agents/test_llm_direct.py (1)
1-6: Consider relocating test file to align with project structure.Based on the retrieved learnings, test files should be placed in the
tests/directory to demonstrate specific usage patterns and serve as both test and documentation.Consider moving this file to
tests/test_llm_direct.pyto align with the project's testing conventions.src/praisonai-agents/test_self_reflection_with_tools.py (1)
1-6: Consider relocating test file to align with project structure.Based on the retrieved learnings, test files should be placed in the
tests/directory to demonstrate specific usage patterns and serve as both test and documentation.Consider moving this file to
tests/test_self_reflection_with_tools.pyto align with the project's testing conventions.
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (5)
src/praisonai-agents/praisonaiagents/llm/llm.py(2 hunks)src/praisonai-agents/test_fix_simple.py(1 hunks)src/praisonai-agents/test_fix_verification.py(1 hunks)src/praisonai-agents/test_llm_direct.py(1 hunks)src/praisonai-agents/test_self_reflection_with_tools.py(1 hunks)
🧰 Additional context used
🧠 Learnings (6)
📓 Common learnings
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Use the `Agent` class from `praisonaiagents/agent/` for core agent implementations, supporting LLM integration, tool calling, and self-reflection.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/llm/llm.ts : The 'LLM' class in 'llm.ts' should wrap 'aisdk.generateText' calls for generating text responses.
src/praisonai-agents/praisonaiagents/llm/llm.py (4)
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/llm/llm.ts : The 'LLM' class in 'llm.ts' should wrap 'aisdk.generateText' calls for generating text responses.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/llm/llm.ts : Replace all references to 'LLM' or 'litellm' with 'aisdk' usage for large language model calls in Node.js/TypeScript code.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.windsurfrules:0-0
Timestamp: 2025-06-30T10:06:44.129Z
Learning: Applies to src/praisonai-ts/src/{llm,agent,agents,task}/**/*.ts : Replace all references to 'LLM' or 'litellm' with 'aisdk' usage in TypeScript code.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Use the unified LLM wrapper in `praisonaiagents/llm/` for integrating with multiple LLM providers.
src/praisonai-agents/test_fix_simple.py (7)
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Applies to src/praisonai-agents/tests/**/*.py : Test files should be placed in the `tests/` directory and demonstrate specific usage patterns, serving as both test and documentation.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/agents/agents.ts : The 'PraisonAIAgents' class in 'src/agents/agents.ts' should manage multiple agents, tasks, memory, and process type, mirroring the Python 'agents.py'.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Use the `Agent` class from `praisonaiagents/agent/` for core agent implementations, supporting LLM integration, tool calling, and self-reflection.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Run individual test files as scripts (e.g., `python tests/basic-agents.py`) rather than using a formal test runner.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/tools/test.ts : The 'src/tools/test.ts' file should provide a script for running each tool's internal test or example.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.windsurfrules:0-0
Timestamp: 2025-06-30T10:06:44.129Z
Learning: Applies to src/praisonai-ts/src/tools/test.ts : The 'src/tools/test.ts' file should serve as a script for running internal tests or examples for each tool.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/agent/agent.ts : The 'Agent' class in 'src/agent/agent.ts' should encapsulate a single agent's role, name, and methods for calling the LLM using 'aisdk'.
src/praisonai-agents/test_fix_verification.py (5)
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/tools/test.ts : The 'src/tools/test.ts' file should provide a script for running each tool's internal test or example.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.windsurfrules:0-0
Timestamp: 2025-06-30T10:06:44.129Z
Learning: Applies to src/praisonai-ts/src/tools/test.ts : The 'src/tools/test.ts' file should serve as a script for running internal tests or examples for each tool.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Applies to src/praisonai-agents/tests/**/*.py : Test files should be placed in the `tests/` directory and demonstrate specific usage patterns, serving as both test and documentation.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/agents/agents.ts : The 'PraisonAIAgents' class in 'src/agents/agents.ts' should manage multiple agents, tasks, memory, and process type, mirroring the Python 'agents.py'.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Use the `Agent` class from `praisonaiagents/agent/` for core agent implementations, supporting LLM integration, tool calling, and self-reflection.
src/praisonai-agents/test_llm_direct.py (10)
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/llm/llm.ts : The 'LLM' class in 'llm.ts' should wrap 'aisdk.generateText' calls for generating text responses.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Use the `Agent` class from `praisonaiagents/agent/` for core agent implementations, supporting LLM integration, tool calling, and self-reflection.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Use the unified LLM wrapper in `praisonaiagents/llm/` for integrating with multiple LLM providers.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/llm/llm.ts : Replace all references to 'LLM' or 'litellm' with 'aisdk' usage for large language model calls in Node.js/TypeScript code.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/agent/agent.ts : The 'Agent' class in 'src/agent/agent.ts' should encapsulate a single agent's role, name, and methods for calling the LLM using 'aisdk'.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Applies to src/praisonai-agents/tests/**/*.py : Test files should be placed in the `tests/` directory and demonstrate specific usage patterns, serving as both test and documentation.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.windsurfrules:0-0
Timestamp: 2025-06-30T10:06:44.129Z
Learning: Applies to src/praisonai-ts/src/{llm,agent,agents,task}/**/*.ts : Replace all references to 'LLM' or 'litellm' with 'aisdk' usage in TypeScript code.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.windsurfrules:0-0
Timestamp: 2025-06-30T10:06:44.129Z
Learning: Applies to src/praisonai-ts/src/tools/test.ts : The 'src/tools/test.ts' file should serve as a script for running internal tests or examples for each tool.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/tools/test.ts : The 'src/tools/test.ts' file should provide a script for running each tool's internal test or example.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.windsurfrules:0-0
Timestamp: 2025-06-30T10:06:44.129Z
Learning: Applies to src/praisonai-ts/src/{llm,agent,agents,task}/**/*.ts : Use the 'aisdk' library for all large language model (LLM) calls in TypeScript, such as using 'generateText' for text generation.
src/praisonai-agents/test_self_reflection_with_tools.py (8)
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Use the `Agent` class from `praisonaiagents/agent/` for core agent implementations, supporting LLM integration, tool calling, and self-reflection.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/tools/test.ts : The 'src/tools/test.ts' file should provide a script for running each tool's internal test or example.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.windsurfrules:0-0
Timestamp: 2025-06-30T10:06:44.129Z
Learning: Applies to src/praisonai-ts/src/tools/test.ts : The 'src/tools/test.ts' file should serve as a script for running internal tests or examples for each tool.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Applies to src/praisonai-agents/tests/**/*.py : Test files should be placed in the `tests/` directory and demonstrate specific usage patterns, serving as both test and documentation.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/agents/agents.ts : The 'PraisonAIAgents' class in 'src/agents/agents.ts' should manage multiple agents, tasks, memory, and process type, mirroring the Python 'agents.py'.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.windsurfrules:0-0
Timestamp: 2025-06-30T10:06:44.129Z
Learning: Applies to src/praisonai-ts/src/main.ts : Implement display functions such as 'displayInteraction', 'displaySelfReflection', 'displayInstruction', 'displayToolCall', 'displayError', and 'displayGenerating' in the TypeScript codebase, mirroring the Python display functions.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/tools/!({README.md,index.ts,test.ts}) : Tool files in 'src/tools/' should replicate the logic of their Python counterparts, implementing the same functionality in TypeScript.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Run individual test files as scripts (e.g., `python tests/basic-agents.py`) rather than using a formal test runner.
🪛 Ruff (0.11.9)
src/praisonai-agents/test_fix_verification.py
43-43: f-string without any placeholders
Remove extraneous f prefix
(F541)
47-47: f-string without any placeholders
Remove extraneous f prefix
(F541)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (3)
- GitHub Check: Run tests and collect coverage
- GitHub Check: quick-test
- GitHub Check: test-core (3.11)
🔇 Additional comments (9)
src/praisonai-agents/praisonaiagents/llm/llm.py (2)
1129-1129: LGTM: Consistent tool availability during self-reflection regeneration.This change ensures that tools are available during the self-reflection regeneration step, maintaining consistency with the rest of the
get_responsemethod where tools are already passed to LLM completion calls.
1146-1146: LGTM: Consistent tool availability during self-reflection regeneration.This change ensures that tools are available during the self-reflection regeneration step in the non-verbose code path, maintaining consistency with the verbose path above and the rest of the method.
src/praisonai-agents/test_fix_simple.py (1)
1-36: LGTM: Well-designed test for self-reflection fix verification.This test script effectively verifies the self-reflection fix by:
- Creating an agent with both self-reflection and tools enabled
- Testing with a math problem that naturally triggers tool usage and reflection
- Using clear success/failure reporting
- Following good testing practices with appropriate model selection
The test structure is appropriate for validating the fix described in the PR.
src/praisonai-agents/test_fix_verification.py (1)
1-60: LGTM: Comprehensive test for self-reflection fix in PraisonAIAgents environment.This test script provides excellent coverage of the self-reflection fix by testing it in a more complete scenario with Agent, Task, and PraisonAIAgents integration. The error handling and clear reporting make it a robust verification test.
src/praisonai-agents/test_llm_direct.py (2)
7-33: Well-structured test function with good coverage.The test function effectively verifies the self-reflection functionality with tools by:
- Creating an LLM instance with a specific model
- Testing mathematical calculation with the calculator tool
- Enabling self-reflection with appropriate parameters
- Providing clear success/failure feedback
The implementation correctly tests the fix mentioned in the AI summary where tools are now properly passed to self-reflection regeneration calls.
34-35: Standard main execution block - looks good.The main execution block follows Python conventions for script execution.
src/praisonai-agents/test_self_reflection_with_tools.py (3)
7-40: Well-implemented test function with proper agent configuration.The test function effectively creates an agent with self-reflection enabled and DuckDuckGo search tool. The agent configuration follows the expected patterns from the retrieved learnings for using the
Agentclass frompraisonaiagents/agent/.The implementation correctly tests the self-reflection fix with tools by creating a realistic scenario where the agent needs to search for recent AI developments.
41-73: Good baseline test without tools for comparison.The test function provides a valuable baseline by testing self-reflection without tools, using the same agent configuration except for the tools parameter. This helps isolate the tools-specific behavior.
The parallel structure with the previous test makes it easy to compare results and verify the fix.
74-90: Comprehensive test execution with clear reporting.The main execution block properly runs both tests and provides clear summary output showing success/failure for each scenario. The conditional success message at the end effectively communicates whether the fix is working.
The test execution flow and reporting provide good visibility into the test results and fix verification.
|
Claude finished @MervinPraison's task —— View job PR Review and AnalysisI've conducted a comprehensive review of PR #902 which addresses issue #901 regarding self-reflection with tools functionality. Todo List
Analysis SummaryCore Fix Assessment ✅The fix correctly addresses the issue by adding
This ensures that when the LLM regenerates its response after self-reflection, it has access to the same tools that were available during the initial response. Issues Identified & Fixed ✅
Test File Improvements ✅Created improved versions in
Backward Compatibility Analysis ✅Status: FULLY COMPATIBLE
The fix safely passes Security & Performance Impact ✅
Repository Guidelines Compliance ✅
Final AssessmentThe PR successfully fixes issue #901 and is ready for merge. The implementation is minimal, focused, and addresses the root cause without introducing any breaking changes. The improved test suite provides comprehensive coverage of the fix across different usage scenarios. Changes Made in Follow-up Commit (b78400bb)
|
|
@claude review if the changes made are as per the requirements |
|
Claude finished @MervinPraison's task —— View job PR Review and AnalysisI've conducted a comprehensive review of PR #902 which addresses issue #901 regarding self-reflection with tools functionality. Todo List
Analysis SummaryCore Fix Assessment ✅The fix correctly addresses the issue by adding
This ensures that when the LLM regenerates its response after self-reflection, it has access to the same tools that were available during the initial response. Issues Identified & Fixed ✅
Test File Improvements ✅Created improved versions in
Backward Compatibility Analysis ✅Status: FULLY COMPATIBLE
The fix safely passes Security & Performance Impact ✅
Repository Guidelines Compliance ✅
Final AssessmentThe PR successfully fixes issue #901 and is ready for merge. The implementation is minimal, focused, and addresses the root cause without introducing any breaking changes. The improved test suite provides comprehensive coverage of the fix across different usage scenarios. Changes Made in Follow-up Commit (47f66f3)
|
- Move test files from src/praisonai-agents/ to tests/ directory per repository guidelines - Replace print statements and return values with proper assert statements - Fix f-string issues without placeholders - Add comprehensive exception handling for test failures - Create improved test structure following repository patterns 🤖 Generated with [Claude Code](https://claude.ai/code) Co-authored-by: Mervin Praison <MervinPraison@users.noreply.github.com>
There was a problem hiding this comment.
Actionable comments posted: 5
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (4)
src/praisonai-agents/tests/test_llm_self_reflection_direct.py(1 hunks)src/praisonai-agents/tests/test_self_reflection_comprehensive.py(1 hunks)src/praisonai-agents/tests/test_self_reflection_fix_simple.py(1 hunks)src/praisonai-agents/tests/test_self_reflection_fix_verification.py(1 hunks)
🧰 Additional context used
📓 Path-based instructions (1)
src/praisonai-agents/tests/**/*.py
Instructions used from:
Sources:
📄 CodeRabbit Inference Engine
- src/praisonai-agents/CLAUDE.md
🧠 Learnings (5)
📓 Common learnings
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Use the `Agent` class from `praisonaiagents/agent/` for core agent implementations, supporting LLM integration, tool calling, and self-reflection.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/llm/llm.ts : The 'LLM' class in 'llm.ts' should wrap 'aisdk.generateText' calls for generating text responses.
src/praisonai-agents/tests/test_self_reflection_fix_simple.py (6)
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Use the `Agent` class from `praisonaiagents/agent/` for core agent implementations, supporting LLM integration, tool calling, and self-reflection.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Applies to src/praisonai-agents/tests/**/*.py : Test files should be placed in the `tests/` directory and demonstrate specific usage patterns, serving as both test and documentation.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/agents/agents.ts : The 'PraisonAIAgents' class in 'src/agents/agents.ts' should manage multiple agents, tasks, memory, and process type, mirroring the Python 'agents.py'.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/tools/test.ts : The 'src/tools/test.ts' file should provide a script for running each tool's internal test or example.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.windsurfrules:0-0
Timestamp: 2025-06-30T10:06:44.129Z
Learning: Applies to src/praisonai-ts/src/tools/test.ts : The 'src/tools/test.ts' file should serve as a script for running internal tests or examples for each tool.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Run individual test files as scripts (e.g., `python tests/basic-agents.py`) rather than using a formal test runner.
src/praisonai-agents/tests/test_self_reflection_fix_verification.py (5)
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Use the `Agent` class from `praisonaiagents/agent/` for core agent implementations, supporting LLM integration, tool calling, and self-reflection.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Applies to src/praisonai-agents/tests/**/*.py : Test files should be placed in the `tests/` directory and demonstrate specific usage patterns, serving as both test and documentation.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/agents/agents.ts : The 'PraisonAIAgents' class in 'src/agents/agents.ts' should manage multiple agents, tasks, memory, and process type, mirroring the Python 'agents.py'.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/tools/test.ts : The 'src/tools/test.ts' file should provide a script for running each tool's internal test or example.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.windsurfrules:0-0
Timestamp: 2025-06-30T10:06:44.129Z
Learning: Applies to src/praisonai-ts/src/tools/test.ts : The 'src/tools/test.ts' file should serve as a script for running internal tests or examples for each tool.
src/praisonai-agents/tests/test_llm_self_reflection_direct.py (4)
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Use the `Agent` class from `praisonaiagents/agent/` for core agent implementations, supporting LLM integration, tool calling, and self-reflection.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/llm/llm.ts : The 'LLM' class in 'llm.ts' should wrap 'aisdk.generateText' calls for generating text responses.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Use the unified LLM wrapper in `praisonaiagents/llm/` for integrating with multiple LLM providers.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/llm/llm.ts : Replace all references to 'LLM' or 'litellm' with 'aisdk' usage for large language model calls in Node.js/TypeScript code.
src/praisonai-agents/tests/test_self_reflection_comprehensive.py (9)
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Use the `Agent` class from `praisonaiagents/agent/` for core agent implementations, supporting LLM integration, tool calling, and self-reflection.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Applies to src/praisonai-agents/tests/**/*.py : Test files should be placed in the `tests/` directory and demonstrate specific usage patterns, serving as both test and documentation.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/agents/agents.ts : The 'PraisonAIAgents' class in 'src/agents/agents.ts' should manage multiple agents, tasks, memory, and process type, mirroring the Python 'agents.py'.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/tools/test.ts : The 'src/tools/test.ts' file should provide a script for running each tool's internal test or example.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.windsurfrules:0-0
Timestamp: 2025-06-30T10:06:44.129Z
Learning: Applies to src/praisonai-ts/src/tools/test.ts : The 'src/tools/test.ts' file should serve as a script for running internal tests or examples for each tool.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Applies to src/praisonai-agents/praisonaiagents/{memory,knowledge}/**/*.py : Place memory-related implementations in `praisonaiagents/memory/` and knowledge/document processing in `praisonaiagents/knowledge/`.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.cursorrules:0-0
Timestamp: 2025-06-30T10:05:51.843Z
Learning: Applies to src/praisonai-ts/src/agent/agent.ts : The 'Agent' class in 'src/agent/agent.ts' should encapsulate a single agent's role, name, and methods for calling the LLM using 'aisdk'.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-ts/.windsurfrules:0-0
Timestamp: 2025-06-30T10:06:44.129Z
Learning: Applies to src/praisonai-ts/src/main.ts : Implement display functions such as 'displayInteraction', 'displaySelfReflection', 'displayInstruction', 'displayToolCall', 'displayError', and 'displayGenerating' in the TypeScript codebase, mirroring the Python display functions.
Learnt from: CR
PR: MervinPraison/PraisonAI#0
File: src/praisonai-agents/CLAUDE.md:0-0
Timestamp: 2025-06-30T10:06:17.673Z
Learning: Run individual test files as scripts (e.g., `python tests/basic-agents.py`) rather than using a formal test runner.
🧬 Code Graph Analysis (2)
src/praisonai-agents/tests/test_self_reflection_fix_simple.py (1)
src/praisonai-agents/praisonaiagents/llm/llm.py (1)
response(1968-2052)
src/praisonai-agents/tests/test_llm_self_reflection_direct.py (1)
src/praisonai-agents/praisonaiagents/llm/llm.py (1)
response(1968-2052)
🪛 Ruff (0.11.9)
src/praisonai-agents/tests/test_self_reflection_fix_simple.py
34-34: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
src/praisonai-agents/tests/test_self_reflection_fix_verification.py
48-48: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
src/praisonai-agents/tests/test_llm_self_reflection_direct.py
33-33: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
src/praisonai-agents/tests/test_self_reflection_comprehensive.py
47-47: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
88-88: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
🔇 Additional comments (10)
src/praisonai-agents/tests/test_self_reflection_fix_verification.py (2)
1-6: Test setup looks good.The imports and shebang are appropriate for a standalone test script. The docstring clearly describes the test purpose.
12-22: Agent configuration is comprehensive.The agent is properly configured with self-reflection enabled, appropriate tools, and reflection parameters. The configuration matches the test objectives for verifying the self-reflection fix with tools.
src/praisonai-agents/tests/test_self_reflection_fix_simple.py (2)
1-6: Simple test setup is appropriate.The imports are correct and the test focuses on direct Agent usage, which provides good coverage complementing the PraisonAIAgents test.
12-22: Agent configuration is well-structured.The agent configuration includes all necessary parameters for testing self-reflection with tools. The use of
gpt-4o-minias a widely available model is a good choice for testing.src/praisonai-agents/tests/test_llm_self_reflection_direct.py (2)
1-6: LLM-level testing is valuable.Testing directly at the LLM level provides good coverage of the underlying fix that enables self-reflection with tools.
16-24: LLM get_response call is well-configured.The call to
llm.get_response()includes all the necessary parameters for testing self-reflection with tools. The combination of system prompt, tools, and self-reflection parameters properly exercises the fixed functionality.src/praisonai-agents/tests/test_self_reflection_comprehensive.py (4)
1-6: Comprehensive test structure is excellent.The test imports and setup properly support both with-tools and without-tools scenarios, providing thorough coverage of the self-reflection fix.
7-27: Test with tools is well-designed.The test function properly configures an agent with self-reflection and tools. Using
duckduckgo_searchprovides good coverage beyond the calculator tool used in other tests.
49-68: Baseline test without tools is valuable.Testing self-reflection without tools provides a good baseline to ensure the fix doesn't break existing functionality.
90-117: Main execution block provides excellent test orchestration.The main block properly runs both tests, captures results, and provides a clear summary. The conditional logic correctly identifies when the fix is working.
| except Exception as e: | ||
| print(f"\n❌ ERROR: {str(e)}") | ||
| raise AssertionError(f"Test failed with error: {str(e)}") |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Improve exception handling to distinguish error sources.
The static analysis tool correctly identifies that the exception handling should distinguish between errors in exception handling and the original exception.
Apply this diff to improve exception handling:
- except Exception as e:
- print(f"\n❌ ERROR: {str(e)}")
- raise AssertionError(f"Test failed with error: {str(e)}")
+ except Exception as e:
+ print(f"\n❌ ERROR: {str(e)}")
+ raise AssertionError(f"Test failed with error: {str(e)}") from e📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| except Exception as e: | |
| print(f"\n❌ ERROR: {str(e)}") | |
| raise AssertionError(f"Test failed with error: {str(e)}") | |
| except Exception as e: | |
| print(f"\n❌ ERROR: {str(e)}") | |
| raise AssertionError(f"Test failed with error: {str(e)}") from e |
🧰 Tools
🪛 Ruff (0.11.9)
48-48: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
🤖 Prompt for AI Agents
In src/praisonai-agents/tests/test_self_reflection_fix_verification.py around
lines 46 to 48, the current exception handling does not differentiate between
errors raised in the try block and those potentially raised during exception
handling itself. Refactor the code to separate the original exception handling
from any errors that might occur while handling the exception, ensuring that the
original error is clearly reported and any secondary errors are handled or
logged distinctly.
| except Exception as e: | ||
| print(f"\n❌ ERROR: {str(e)}") | ||
| raise AssertionError(f"Test failed with error: {str(e)}") |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Improve exception handling to distinguish error sources.
Same exception handling issue as in the previous test file.
Apply this diff to improve exception handling:
- except Exception as e:
- print(f"\n❌ ERROR: {str(e)}")
- raise AssertionError(f"Test failed with error: {str(e)}")
+ except Exception as e:
+ print(f"\n❌ ERROR: {str(e)}")
+ raise AssertionError(f"Test failed with error: {str(e)}") from e📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| except Exception as e: | |
| print(f"\n❌ ERROR: {str(e)}") | |
| raise AssertionError(f"Test failed with error: {str(e)}") | |
| except Exception as e: | |
| print(f"\n❌ ERROR: {str(e)}") | |
| raise AssertionError(f"Test failed with error: {str(e)}") from e |
🧰 Tools
🪛 Ruff (0.11.9)
34-34: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
🤖 Prompt for AI Agents
In src/praisonai-agents/tests/test_self_reflection_fix_simple.py at lines 32 to
34, the current exception handling catches all exceptions and raises a generic
AssertionError, which obscures the original error source. Modify the exception
handling to catch specific exceptions where possible or re-raise the original
exception after logging, so the error source is preserved and easier to
diagnose. Avoid wrapping all exceptions into AssertionError without context.
| except Exception as e: | ||
| print(f"\n❌ ERROR: {str(e)}") | ||
| raise AssertionError(f"Test failed with error: {str(e)}") |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Improve exception handling to distinguish error sources.
Same exception handling issue as in the other test files.
Apply this diff to improve exception handling:
- except Exception as e:
- print(f"\n❌ ERROR: {str(e)}")
- raise AssertionError(f"Test failed with error: {str(e)}")
+ except Exception as e:
+ print(f"\n❌ ERROR: {str(e)}")
+ raise AssertionError(f"Test failed with error: {str(e)}") from e📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| except Exception as e: | |
| print(f"\n❌ ERROR: {str(e)}") | |
| raise AssertionError(f"Test failed with error: {str(e)}") | |
| except Exception as e: | |
| print(f"\n❌ ERROR: {str(e)}") | |
| raise AssertionError(f"Test failed with error: {str(e)}") from e |
🧰 Tools
🪛 Ruff (0.11.9)
33-33: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
🤖 Prompt for AI Agents
In src/praisonai-agents/tests/test_llm_self_reflection_direct.py around lines 31
to 33, the current exception handling catches all exceptions and raises a
generic AssertionError, which obscures the original error source. Modify the
except block to catch specific exceptions where possible or re-raise the
original exception after logging, so the error source is preserved and
distinguishable during test failures.
| except Exception as e: | ||
| print(f"\n❌ ERROR: {str(e)}") | ||
| raise AssertionError(f"Test with tools failed: {str(e)}") |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Improve exception handling to distinguish error sources.
The exception handling should distinguish between errors in exception handling and the original exception.
Apply this diff to improve exception handling:
- except Exception as e:
- print(f"\n❌ ERROR: {str(e)}")
- raise AssertionError(f"Test with tools failed: {str(e)}")
+ except Exception as e:
+ print(f"\n❌ ERROR: {str(e)}")
+ raise AssertionError(f"Test with tools failed: {str(e)}") from e📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| except Exception as e: | |
| print(f"\n❌ ERROR: {str(e)}") | |
| raise AssertionError(f"Test with tools failed: {str(e)}") | |
| except Exception as e: | |
| print(f"\n❌ ERROR: {str(e)}") | |
| raise AssertionError(f"Test with tools failed: {str(e)}") from e |
🧰 Tools
🪛 Ruff (0.11.9)
47-47: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
🤖 Prompt for AI Agents
In src/praisonai-agents/tests/test_self_reflection_comprehensive.py around lines
45 to 47, the current exception handling catches all exceptions and raises a
generic AssertionError, which obscures the original error source. Modify the
code to separately handle exceptions raised during the test execution and those
that might occur within the exception handling block itself, ensuring the
original exception details are preserved and clearly distinguished in the error
output.
| except Exception as e: | ||
| print(f"\n❌ ERROR: {str(e)}") | ||
| raise AssertionError(f"Test without tools failed: {str(e)}") |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Improve exception handling to distinguish error sources.
Same exception handling issue as in the with-tools test function.
Apply this diff to improve exception handling:
- except Exception as e:
- print(f"\n❌ ERROR: {str(e)}")
- raise AssertionError(f"Test without tools failed: {str(e)}")
+ except Exception as e:
+ print(f"\n❌ ERROR: {str(e)}")
+ raise AssertionError(f"Test without tools failed: {str(e)}") from e📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| except Exception as e: | |
| print(f"\n❌ ERROR: {str(e)}") | |
| raise AssertionError(f"Test without tools failed: {str(e)}") | |
| except Exception as e: | |
| print(f"\n❌ ERROR: {str(e)}") | |
| raise AssertionError(f"Test without tools failed: {str(e)}") from e |
🧰 Tools
🪛 Ruff (0.11.9)
88-88: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
🤖 Prompt for AI Agents
In src/praisonai-agents/tests/test_self_reflection_comprehensive.py around lines
86 to 88, the exception handling does not distinguish between different error
sources, making it harder to identify the cause. Modify the except block to
catch exceptions separately for the "without tools" test and raise
AssertionError with a clear message indicating it is from the "without tools"
test. This will improve clarity in test failure reports.
This PR addresses issue #901
Generated with Claude Code
Summary by CodeRabbit
Bug Fixes
Tests