openai agents minor fixes

Author: vrushankportkey

integrations/agents/openai-agents.mdx

@@ -27,15 +27,11 @@ Portkey turns your experimental OpenAI Agents into production-ready systems by p
 pip install -U openai-agents portkey-ai
 ```
 </Step>
-
-
-
-
-  <Step title="Generate API Key" icon="lock">
+  <Step title="Generate API Key">
     Create a Portkey API key with optional budget/rate limits and attach your Config
   </Step>
 
-  <Step title="Connect to OpenAI Agents" icon="plug">
+  <Step title="Connect to OpenAI Agents">
     There are 3 ways to integrate Portkey with OpenAI Agents:
 
     1. Set a client that applies to all agents in your application
@@ -44,9 +40,6 @@ pip install -U openai-agents portkey-ai
 
     See the [Integration Approaches](#integration-approaches) section for more details.
   </Step>
-
-
-
 <Step title="Configure Portkey Client">
     For a simple setup, we'll use the global client approach:
 
@@ -78,8 +71,6 @@ set_default_openai_api("chat_completions")  # Responses API → Chat
 **What are Virtual Keys?** Virtual keys in Portkey securely store your LLM provider API keys (OpenAI, Anthropic, etc.) in an encrypted vault. They allow for easier key rotation and budget management. [Learn more about virtual keys here](/product/ai-gateway/virtual-keys).
 </Info>
 </Step>
-
-
 </Steps>
 
 ### Getting Started
@@ -699,8 +690,6 @@ Implement caching to make your OpenAI Agents agents more efficient and cost-effe
       "virtual_key": "YOUR_LLM_PROVIDER_VIRTUAL_KEY"
     }
 
-
-
     # Configure OpenAI client with chosen provider
     portkey = AsyncOpenAI(
         base_url=PORTKEY_GATEWAY_URL,
@@ -722,7 +711,6 @@ Implement caching to make your OpenAI Agents agents more efficient and cost-effe
         "virtual_key": "YOUR_LLM_PROVIDER_VIRTUAL_KEY"
       }
 
-
       # Configure OpenAI client with chosen provider
       portkey = AsyncOpenAI(
           base_url=PORTKEY_GATEWAY_URL,