[Docs]: Add Integration for 🧊 Helicone (LLM-Observability for Developers) (#1458)

docs/integration/helicone.mdx

@@ -0,0 +1,52 @@
+---
+title: "🧊 Helicone"
+description: "Implement Helicone, the open-source LLM observability platform, with Embedchain. Monitor, debug, and optimize your AI applications effortlessly."
+"twitter:title": "Helicone LLM Observability for Embedchain"
+---
+
+Get started with [Helicone](https://www.helicone.ai/), the open-source LLM observability platform for developers to monitor, debug, and optimize their applications.
+
+To use Helicone, you need to do the following steps.
+
+## Integration Steps
+
+<Steps>
+  <Step title="Create an account + Generate an API Key">
+    Log into [Helicone](https://www.helicone.ai) or create an account. Once you have an account, you
+    can generate an [API key](https://helicone.ai/developer).
+
+    <Note>
+      Make sure to generate a [write only API key](helicone-headers/helicone-auth).
+    </Note>
+
+  </Step>
+  <Step title="Set base_url in the your code">
+You can configure your base_url and OpenAI API key in your codebase
+  <CodeGroup>
+
+```python main.py
+import os
+from embedchain import App
+
+# Modify the base path and add a Helicone URL
+os.environ["OPENAI_API_BASE"] = "https://oai.helicone.ai/{YOUR_HELICONE_API_KEY}/v1"
+# Add your OpenAI API Key
+os.environ["OPENAI_API_KEY"] = "{YOUR_OPENAI_API_KEY}"
+
+app = App()
+
+# Add data to your app
+app.add("https://en.wikipedia.org/wiki/Elon_Musk")
+
+# Query your app
+print(app.query("How many companies did Elon found? Which companies?"))
+```
+
+</CodeGroup>
+  </Step>
+<Step title="Now you can see all passing requests through Embedchain in Helicone">
+    <img src="/images/helicone-embedchain.png" alt="Embedchain requests" />
+  </Step>
+</Steps>
+
+Check out [Helicone](https://www.helicone.ai) to see more use cases!

docs/mint.json

@@ -19,9 +19,7 @@
   "modeToggle": {
     "default": "dark"
   },
-  "openapi": [
+  "openapi": ["/rest-api.json"],
-    "/rest-api.json"
-  ],
   "metadata": {
     "og:image": "/images/og.png",
     "twitter:site": "@embedchain"
@@ -70,7 +68,8 @@
             "integration/langsmith",
             "integration/chainlit",
             "integration/streamlit-mistral",
-            "integration/openlit"
+            "integration/openlit",
+            "integration/helicone"
           ]
         }
       ]
@@ -132,13 +131,13 @@
         {
           "group": "🗄️ Vector databases",
           "pages": [
-                "components/vector-databases/chromadb",
+            "components/vector-databases/chromadb",
-                "components/vector-databases/elasticsearch",
+            "components/vector-databases/elasticsearch",
-                "components/vector-databases/pinecone",
+            "components/vector-databases/pinecone",
-                "components/vector-databases/opensearch",
+            "components/vector-databases/opensearch",
-                "components/vector-databases/qdrant",
+            "components/vector-databases/qdrant",
-                "components/vector-databases/weaviate",
+            "components/vector-databases/weaviate",
-                "components/vector-databases/zilliz"
+            "components/vector-databases/zilliz"
           ]
         },
         "components/llms",
@@ -161,9 +160,7 @@
     },
     {
       "group": "Community",
-      "pages": [
+      "pages": ["community/connect-with-us"]
-        "community/connect-with-us"
-      ]
     },
     {
       "group": "Examples",
@@ -203,9 +200,7 @@
     },
     {
       "group": "Showcase",
-      "pages": [
+      "pages": ["examples/showcase"]
-        "examples/showcase"
-      ]
     },
     {
       "group": "API Reference",
@@ -241,9 +236,7 @@
     },
     {
       "group": "Product",
-      "pages": [
+      "pages": ["product/release-notes"]
-        "product/release-notes"
-      ]
     }
   ],
   "footerSocials": {