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The Agent class was not passing the stream parameter to the LLM's get_response() method, causing the LLM to always use its default stream=True behavior regardless of the Agent's configuration. This fix ensures that when an Agent is created with stream=False or when chat() is called with stream=False, this preference is properly passed to the LLM. Co-authored-by: Mervin Praison <MervinPraison@users.noreply.github.com>
WalkthroughThe update modifies the Changes
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@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 use multi agents to 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. |
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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 introduces a minor but important refinement to the agent's chat functionality. It ensures that the stream parameter, which likely controls real-time output generation, is properly forwarded to the underlying agent logic. This change is crucial for enabling or enhancing streaming experiences when interacting with the agent.
Highlights
- Parameter Propagation: The
streamparameter is now explicitly passed from thechatmethod to an internal agent processing function. This ensures that streaming capabilities, if enabled, are correctly propagated through the agent's execution flow.
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Claude finished @MervinPraison's task —— View job Detailed PR Review for #834SummaryThis PR fixes a bug where the Code Analysis1. The Problem (Before Fix)response_text = self.llm_instance.get_response(
prompt=prompt,
# ... other parameters ...
reasoning_steps=reasoning_steps
# Missing: stream parameter
)2. The Solution (After Fix)response_text = self.llm_instance.get_response(
prompt=prompt,
# ... other parameters ...
reasoning_steps=reasoning_steps,
stream=stream # Pass the stream parameter from chat method
)Detailed Findings✅ The fix is correct and addresses the issue properly:
✅ Backward compatibility is maintained:
✅ No negative impacts found:
Testing Evidence
RecommendationAPPROVE - This PR correctly fixes the missing parameter propagation without introducing any issues. No additional changes are needed as the existing implementation is correct and complete. The fix ensures that when users explicitly set |
| execute_tool_fn=self.execute_tool, # Pass tool execution function | ||
| reasoning_steps=reasoning_steps | ||
| reasoning_steps=reasoning_steps, | ||
| stream=stream # Pass the stream parameter from chat method |
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Pass the stream parameter from the chat method to LLM.get_response() to allow runtime control over streaming behavior for custom LLMs.
| stream=stream # Pass the stream parameter from chat method | |
| stream=stream # Pass the stream parameter from chat method |
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@claude review if the changes made are as per the requirements |
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Claude finished @MervinPraison's task —— View job Reviewing PR #834 ChangesTodo List:
Detailed ReviewI've thoroughly analyzed the changes made in PR #834, and I can confirm that the changes are correctly implemented and meet all requirements. 📋 Requirements Met:
🔍 Technical Details:The Agent's def chat(self, prompt, temperature=0.2, tools=None, output_json=None,
output_pydantic=None, reasoning_steps=False, stream=True):The LLM's def get_response(..., stream: bool = True, **kwargs) -> str:The fix ensures that when users explicitly set ConclusionThe implementation is correct and complete. The fix addresses the exact issue where the stream parameter wasn't being forwarded in one of the three |
1 participant
User description
This PR addresses pr #832
Generated with Claude Code
PR Type
Bug fix
Description
Fix stream parameter not being passed from Agent to LLM
Ensure Agent's stream configuration is properly propagated
Changes diagram
Changes walkthrough 📝
agent.py
Add missing stream parameter to LLM callsrc/praisonai-agents/praisonaiagents/agent/agent.py
stream=streamparameter to LLM'sget_response()method callSummary by CodeRabbit