docs add vertex ai endpoints

docs/my-website/docs/vertex_ai.md

@@ -0,0 +1,40 @@
+# [BETA] Vertex AI Endpoints
+
+## Supported APIs
+
+- Gemini API
+- Embeddings API
+- Imagen API
+- Code Completion API
+- Batch prediction API
+- Tuning API
+- CountTokens API
+
+## Quick Start Usage 
+
+#### 1. Set `default_vertex_config` on your `config.yaml`
+
+
+Add the following credentials to your litellm config.yaml to use the Vertex AI endpoints.
+
+```yaml
+default_vertex_config:
+  vertex_project: "adroit-crow-413218"
+  vertex_location: "us-central1"
+  vertex_credentials: "/Users/ishaanjaffer/Downloads/adroit-crow-413218-a956eef1a2a8.json" # Add path to service account.json
+```
+
+#### 2. Start litellm proxy
+
+```shell
+litellm --config /path/to/config.yaml
+```
+
+#### 3. Test it 
+
+```shell
+curl http://localhost:4000/vertex-ai/publishers/google/models/textembedding-gecko@001:countTokens \
+-H "Content-Type: application/json" \
+-H "Authorization: Bearer sk-1234" \
+-d '{"instances":[{"content": "gm"}]}'
+```

docs/my-website/sidebars.js

@@ -110,7 +110,7 @@ const sidebars = {
     },
     {
       type: "category",
-      label: "Embedding(), Image Generation(), Assistants(), Moderation(), Audio Transcriptions(), TTS(), Batches(), Fine-Tuning()",
+      label: "Supported Endpoints - /images, /audio/speech, /assistants etc",
       items: [
         "embedding/supported_embedding",
         "embedding/async_embedding",
@@ -121,7 +121,8 @@ const sidebars = {
         "assistants",
         "batches",
         "fine_tuning",
-        "anthropic_completion"
+        "anthropic_completion",
+        "vertex_ai"
       ],
     },
     {