Add Vertex and Gemini Videos API with Cost Tracking + UI support

docs/my-website/docs/providers/azure/videos.md

@@ -25,7 +25,6 @@ LiteLLM supports Azure OpenAI's video generation models including Sora with full
 import os 
 os.environ["AZURE_OPENAI_API_KEY"] = "your-azure-api-key"
 os.environ["AZURE_OPENAI_API_BASE"] = "https://your-resource.openai.azure.com/"
-os.environ["AZURE_OPENAI_API_VERSION"] = "2024-02-15-preview"
 ```
 
 ### Basic Usage
@@ -37,7 +36,6 @@ import time
 
 os.environ["AZURE_OPENAI_API_KEY"] = "your-azure-api-key"
 os.environ["AZURE_OPENAI_API_BASE"] = "https://your-resource.openai.azure.com/"
-os.environ["AZURE_OPENAI_API_VERSION"] = "2024-02-15-preview"
 
 # Generate video
 response = video_generation(
@@ -53,8 +51,7 @@ print(f"Initial Status: {response.status}")
 # Check status until video is ready
 while True:
     status_response = video_status(
-        video_id=response.id,
-        custom_llm_provider="azure"
+        video_id=response.id
     )
 
     print(f"Current Status: {status_response.status}")
@@ -69,8 +66,7 @@ while True:
 
 # Download video content when ready
 video_bytes = video_content(
-    video_id=response.id,
-    custom_llm_provider="azure"
+    video_id=response.id
 )
 
 # Save to file
@@ -87,7 +83,6 @@ Here's how to call Azure video generation models with the LiteLLM Proxy Server
 ```bash
 export AZURE_OPENAI_API_KEY="your-azure-api-key"
 export AZURE_OPENAI_API_BASE="https://your-resource.openai.azure.com/"
-export AZURE_OPENAI_API_VERSION="2024-02-15-preview"
 ```
 
 ### 2. Start the proxy 
@@ -102,7 +97,6 @@ model_list:
       model: azure/sora-2
       api_key: os.environ/AZURE_OPENAI_API_KEY
       api_base: os.environ/AZURE_OPENAI_API_BASE
-      api_version: "2024-02-15-preview"
 ```
 
 </TabItem>
@@ -211,8 +205,7 @@ general_settings:
 ```python
 # Download video content
 video_bytes = video_content(
-    video_id="video_1234567890",
-    model="azure/sora-2"
+    video_id="video_1234567890"
 )
 
 # Save to file
@@ -243,8 +236,7 @@ def generate_and_download_video(prompt):
     
     # Step 3: Download video
     video_bytes = litellm.video_content(
-        video_id=video_id,
-        custom_llm_provider="azure"
+        video_id=video_id
     )
     
     # Step 4: Save to file
@@ -264,9 +256,9 @@ video_file = generate_and_download_video(
 ```python
 # Video editing with reference image
 response = litellm.video_remix(
+    video_id="video_456",
     prompt="Make the cat jump higher",
     input_reference=open("path/to/image.jpg", "rb"),  # Reference image as file object
-    custom_llm_provider="azure"
     seconds="8"
 )
 

docs/my-website/docs/providers/gemini.md

@@ -10,7 +10,7 @@ import TabItem from '@theme/TabItem';
 | Provider Route on LiteLLM | `gemini/` |
 | Provider Doc | [Google AI Studio ↗](https://aistudio.google.com/) |
 | API Endpoint for Provider | https://generativelanguage.googleapis.com |
-| Supported OpenAI Endpoints | `/chat/completions`, [`/embeddings`](../embedding/supported_embedding#gemini-ai-embedding-models), `/completions` |
+| Supported OpenAI Endpoints | `/chat/completions`, [`/embeddings`](../embedding/supported_embedding#gemini-ai-embedding-models), `/completions`, [`/videos`](./gemini/videos.md) |
 | Pass-through Endpoint | [Supported](../pass_through/google_ai_studio.md) |
 
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