diff --git a/docs/my-website/docs/pass_through/cohere.md b/docs/my-website/docs/pass_through/cohere.md
index a74ef695ef..227ff5777a 100644
--- a/docs/my-website/docs/pass_through/cohere.md
+++ b/docs/my-website/docs/pass_through/cohere.md
@@ -4,7 +4,7 @@ Pass-through endpoints for Cohere - call provider-specific endpoint, in native f
 
 | Feature | Supported | Notes | 
 |-------|-------|-------|
-| Cost Tracking | ✅ | works across all integrations |
+| Cost Tracking | ✅ | Supported for `/v1/chat`, and `/v2/chat` |
 | Logging | ✅ | works across all integrations |
 | End-user Tracking | ❌ | [Tell us if you need this](https://github.com/BerriAI/litellm/issues/new) |
 | Streaming | ✅ | |
diff --git a/docs/my-website/docs/providers/vllm.md b/docs/my-website/docs/providers/vllm.md
index b5987167ec..5c8233b056 100644
--- a/docs/my-website/docs/providers/vllm.md
+++ b/docs/my-website/docs/providers/vllm.md
@@ -161,6 +161,120 @@ curl -L -X POST 'http://0.0.0.0:4000/embeddings' \
 
 Example Implementation from VLLM [here](https://github.com/vllm-project/vllm/pull/10020)
 
+<Tabs>
+<TabItem value="files_message" label="(Unified) Files Message">
+
+Use this to send a video url to VLLM + Gemini in the same format, using OpenAI's `files` message type.
+
+There are two ways to send a video url to VLLM:
+
+1. Pass the video url directly
+
+```
+{"type": "file", "file": {"file_id": video_url}},
+```
+
+2. Pass the video data as base64
+
+```
+{"type": "file", "file": {"file_data": f"data:video/mp4;base64,{video_data_base64}"}}
+```
+
+<Tabs>
+<TabItem value="sdk" label="SDK">
+
+```python
+from litellm import completion
+
+messages=[
+    {
+        "role": "user",
+        "content": [
+            {
+                "type": "text",
+                "text": "Summarize the following video"
+            },
+            {
+                "type": "file",
+                "file": {
+                    "file_id": "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
+                }
+            }
+        ]
+    }
+]
+
+# call vllm 
+os.environ["HOSTED_VLLM_API_BASE"] = "https://hosted-vllm-api.co"
+os.environ["HOSTED_VLLM_API_KEY"] = "" # [optional], if your VLLM server requires an API key
+response = completion(
+    model="hosted_vllm/qwen", # pass the vllm model name
+    messages=messages,
+)
+
+# call gemini 
+os.environ["GEMINI_API_KEY"] = "your-gemini-api-key"
+response = completion(
+    model="gemini/gemini-1.5-flash", # pass the gemini model name
+    messages=messages,
+)
+
+print(response)
+```
+
+</TabItem>
+<TabItem value="proxy" label="PROXY">
+
+1. Setup config.yaml
+
+```yaml
+model_list:
+    - model_name: my-model
+      litellm_params:
+        model: hosted_vllm/qwen  # add hosted_vllm/ prefix to route as OpenAI provider
+        api_base: https://hosted-vllm-api.co      # add api base for OpenAI compatible provider
+    - model_name: my-gemini-model
+      litellm_params:
+        model: gemini/gemini-1.5-flash  # add gemini/ prefix to route as Google AI Studio provider
+        api_key: os.environ/GEMINI_API_KEY
+```
+
+2. Start the proxy 
+
+```bash
+$ litellm --config /path/to/config.yaml
+
+# RUNNING on http://0.0.0.0:4000
+```
+
+3. Test it! 
+
+```bash
+curl -X POST http://0.0.0.0:4000/chat/completions \
+-H "Authorization: Bearer sk-1234" \
+-H "Content-Type: application/json" \
+-d '{
+    "model": "my-model",
+    "messages": [
+        {"role": "user", "content": 
+            [
+                {"type": "text", "text": "Summarize the following video"},
+                {"type": "file", "file": {"file_id": "https://www.youtube.com/watch?v=dQw4w9WgXcQ"}}
+            ]
+        }
+    ]
+}'
+```
+
+</TabItem>
+</Tabs>
+
+
+</TabItem>
+<TabItem value="video_url" label="(VLLM-specific) Video Message">
+
+Use this to send a video url to VLLM in it's native message format (`video_url`).
+
 There are two ways to send a video url to VLLM:
 
 1. Pass the video url directly
@@ -249,6 +363,10 @@ curl -X POST http://0.0.0.0:4000/chat/completions \
 </Tabs>
 
 
+</TabItem>
+</Tabs>
+
+
 ## (Deprecated) for `vllm pip package` 
 ### Using - `litellm.completion`
 
diff --git a/docs/my-website/release_notes/v1.67.0-stable/index.md b/docs/my-website/release_notes/v1.67.0-stable/index.md
index caabee6f1e..81bcfd7b2f 100644
--- a/docs/my-website/release_notes/v1.67.0-stable/index.md
+++ b/docs/my-website/release_notes/v1.67.0-stable/index.md
@@ -27,7 +27,7 @@ hide_table_of_contents: false
 - **Anthropic**
     1. redacted message thinking support - [Get Started](../../docs/providers/anthropic#usage---thinking--reasoning_content),[PR](https://github.com/BerriAI/litellm/pull/10129)
 - **Cohere**
-    1. `/v2/chat` Passthrough endpoint support w/ cost tracking - [ADD DOCS HERE], [PR](https://github.com/BerriAI/litellm/pull/9997)
+    1. `/v2/chat` Passthrough endpoint support w/ cost tracking - [Get Started](../../docs/pass_through/cohere), [PR](https://github.com/BerriAI/litellm/pull/9997)
 - **Azure**
     1. Support azure tenant_id/client_id env vars - [Get Started](../../docs/providers/azure#entra-id---use-tenant_id-client_id-client_secret), [PR](https://github.com/BerriAI/litellm/pull/9993)
     2. Fix response_format check for 2025+ api versions - [PR](https://github.com/BerriAI/litellm/pull/9993)