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Step 2: ⌨️ Coding

• Modify agents-api/agents_api/common/protocol/agents.py ✓ c6eee71 Edit

Modify agents-api/agents_api/common/protocol/agents.py with contents:
• At the top of the `AgentDefaultSettings` class, add a docstring that describes the purpose of the class. For example: """Defines default settings for an agent. These settings control various aspects of the agent's behavior during operation."""
• For each field within the `AgentDefaultSettings` class, add a concise docstring directly above the field declaration to explain its purpose and any relevant details. For instance, above the `temperature` field, add: """Temperature setting influencing the randomness of the agent's responses. Higher values lead to more random responses."""
• Ensure that each docstring is concise, clear, and provides meaningful information about the purpose and use of the class and its fields.
• No changes to business logic or imports are necessary, as this task strictly involves adding documentation.

--- 
+++ 
@@ -4,12 +4,20 @@
 
 
 class AgentDefaultSettings(BaseModel):
+    """Defines default settings for an agent. These settings control various aspects of the agent's behavior during operation."""
+    """Temperature setting influencing the randomness of the agent's responses. Higher values lead to more random responses."""
     temperature: float = 0.0
+    """Top-p sampling setting controlling the nucleus of the probability distribution to sample from."""
     top_p: float = 1.0
+    """Penalty applied to discourage repetition in the agent's responses."""
     repetition_penalty: float = 1.0
+    """Penalty for longer responses, encouraging more concise outputs."""
     length_penalty: float = 1.0
+    """Penalty applied based on the presence of certain words, influencing content generation."""
     presence_penalty: float = 0.0
+    """Penalty that decreases the likelihood of frequently used words in the agent's responses."""
     frequency_penalty: float = 0.0
+    """Minimum probability threshold for including a word in the agent's response."""
     min_p: float = 0.01
 
 

• Running GitHub Actions for agents-api/agents_api/common/protocol/agents.py ✓ Edit

Check agents-api/agents_api/common/protocol/agents.py with contents:

Ran GitHub Actions for c6eee717a54a903550c2680bf9ab136c26556b76:

Step 3: 🔁 Code Review

I have finished reviewing the code for completeness. I did not find errors for sweep/add_docstrings_and_comments_to_agentsapi.

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