Deleted MCP

docs/mint.json

@@ -17,7 +17,6 @@
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       "from": "#D1E5F7",
       "to": "#a9bed4"
-
     }
   },
   "topbarCtaButton": {
@@ -60,25 +59,16 @@
       "url": "https://agentops.ai/contact"
     }
   ],
-  "versions": [
-    "v2",
-    "v1",
-    "v0"
-  ],
+  "versions": ["v2", "v1", "v0"],
   "navigation": [
     {
       "group": "",
-      "pages": [
-        "v1/introduction"
-      ],
+      "pages": ["v1/introduction"],
       "version": "v1"
     },
     {
       "group": "Getting Started",
-      "pages": [
-        "v1/quickstart",
-        "v1/examples/examples"
-      ],
+      "pages": ["v1/quickstart", "v1/examples/examples"],
       "version": "v1"
     },
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@@ -140,17 +130,12 @@
     },
     {
       "group": "",
-      "pages": [
-        "v2/introduction"
-      ],
+      "pages": ["v2/introduction"],
       "version": "v2"
     },
     {
       "group": "Getting Started",
-      "pages": [
-        "v2/quickstart",
-        "v2/examples/examples"
-      ],
+      "pages": ["v2/quickstart", "v2/examples/examples"],
       "version": "v2"
     },
     {
@@ -199,7 +184,8 @@
         "v2/usage/tracking-agents",
         "v2/usage/recording-operations",
         "v2/usage/trace-decorator",
-        "v2/usage/manual-trace-control"
+        "v2/usage/manual-trace-control",
+        "v2/usage/public-api"
       ],
       "version": "v2"
     },

docs/v2/examples/openai.mdx

@@ -1,6 +1,6 @@
 ---
 title: 'OpenAI'
-description: 'Load the dataset (ensure you're logged in with huggingface-cli if needed)'
+description: "Load the dataset (ensure you're logged in with huggingface-cli if needed)"
 ---
 {/*  SOURCE_FILE: examples/openai/multi_tool_orchestration.ipynb  */}
 
@@ -322,7 +322,7 @@ Finally, the tool call and its output are appended to the conversation, and the
 
 ### Multi-tool orchestration flow
 
-Now let us try to modify the input query and the system instructions to the responses API in order to follow a tool calling sequence and generate the output. 
+Now let us try to modify the input query and the system instructions to the responses API in order to follow a tool calling sequence and generate the output.
 
 
 ```python
@@ -427,10 +427,10 @@ agentops.end_trace(tracer, end_state="Success")
 ```
 
 
-Here, we have seen  how to utilize OpenAI's Responses API to implement a Retrieval-Augmented Generation (RAG) approach with multi-tool calling capabilities. It showcases an example where the model selects the appropriate tool based on the input query: general questions may be handled by built-in tools such as web-search, while specific medical inquiries related to internal knowledge are addressed by retrieving context from a vector database (such as Pinecone) via function calls. Additonally, we have showcased how multiple tool calls can be sequentially combined to generate a final response based on our instructions provided to responses API. Happy coding! 
+Here, we have seen  how to utilize OpenAI's Responses API to implement a Retrieval-Augmented Generation (RAG) approach with multi-tool calling capabilities. It showcases an example where the model selects the appropriate tool based on the input query: general questions may be handled by built-in tools such as web-search, while specific medical inquiries related to internal knowledge are addressed by retrieving context from a vector database (such as Pinecone) via function calls. Additonally, we have showcased how multiple tool calls can be sequentially combined to generate a final response based on our instructions provided to responses API. Happy coding!
 
 
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 <script type="module" src="/scripts/scroll-img-fadein-animation.js"></script>
 <script type="module" src="/scripts/button_heartbeat_animation.js"></script>
-<script type="module" src="/scripts/adjust_api_dynamically.js"></script>
+<script type="module" src="/scripts/adjust_api_dynamically.js"></script>