diff --git a/docs/my-website/docs/pass_through/cohere.md b/docs/my-website/docs/pass_through/cohere.md
index a74ef695efc..227ff5777a4 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/pass_through/mistral.md b/docs/my-website/docs/pass_through/mistral.md
new file mode 100644
index 00000000000..ee7ca800c4f
--- /dev/null
+++ b/docs/my-website/docs/pass_through/mistral.md
@@ -0,0 +1,217 @@
+# Mistral
+
+Pass-through endpoints for Mistral - call provider-specific endpoint, in native format (no translation).
+
+| Feature | Supported | Notes | 
+|-------|-------|-------|
+| Cost Tracking | ❌ | Not supported |
+| Logging | ✅ | works across all integrations |
+| End-user Tracking | ❌ | [Tell us if you need this](https://github.com/BerriAI/litellm/issues/new) |
+| Streaming | ✅ | |
+
+Just replace `https://api.mistral.ai/v1` with `LITELLM_PROXY_BASE_URL/mistral` 🚀
+
+#### **Example Usage**
+
+```bash
+curl -L -X POST 'http://0.0.0.0:4000/mistral/v1/ocr' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer sk-1234' \
+-d '{
+    "model": "mistral-ocr-latest",
+    "document": {
+        "type": "image_url",
+        "image_url": "https://raw.githubusercontent.com/mistralai/cookbook/refs/heads/main/mistral/ocr/receipt.png"
+    }
+
+}'
+```
+
+Supports **ALL** Mistral Endpoints (including streaming).
+
+## Quick Start
+
+Let's call the Mistral [`/chat/completions` endpoint](https://docs.mistral.ai/api/#tag/chat/operation/chat_completion_v1_chat_completions_post)
+
+1. Add MISTRAL_API_KEY to your environment 
+
+```bash
+export MISTRAL_API_KEY="sk-1234"
+```
+
+2. Start LiteLLM Proxy 
+
+```bash
+litellm
+
+# RUNNING on http://0.0.0.0:4000
+```
+
+3. Test it! 
+
+Let's call the Mistral `/ocr` endpoint
+
+```bash
+curl -L -X POST 'http://0.0.0.0:4000/mistral/v1/ocr' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer sk-1234' \
+-d '{
+    "model": "mistral-ocr-latest",
+    "document": {
+        "type": "image_url",
+        "image_url": "https://raw.githubusercontent.com/mistralai/cookbook/refs/heads/main/mistral/ocr/receipt.png"
+    }
+
+}'
+```
+
+
+## Examples
+
+Anything after `http://0.0.0.0:4000/mistral` is treated as a provider-specific route, and handled accordingly.
+
+Key Changes: 
+
+| **Original Endpoint**                                | **Replace With**                  |
+|------------------------------------------------------|-----------------------------------|
+| `https://api.mistral.ai/v1`          | `http://0.0.0.0:4000/mistral` (LITELLM_PROXY_BASE_URL="http://0.0.0.0:4000")      |
+| `bearer $MISTRAL_API_KEY`                                 | `bearer anything` (use `bearer LITELLM_VIRTUAL_KEY` if Virtual Keys are setup on proxy)                    |
+
+
+### **Example 1: OCR endpoint**
+
+#### LiteLLM Proxy Call 
+
+```bash
+curl -L -X POST 'http://0.0.0.0:4000/mistral/v1/ocr' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer $LITELLM_API_KEY' \
+-d '{
+    "model": "mistral-ocr-latest",
+    "document": {
+        "type": "image_url",
+        "image_url": "https://raw.githubusercontent.com/mistralai/cookbook/refs/heads/main/mistral/ocr/receipt.png"
+    }
+}'
+```
+
+
+#### Direct Mistral API Call 
+
+```bash
+curl https://api.mistral.ai/v1/ocr \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer ${MISTRAL_API_KEY}" \
+  -d '{
+    "model": "mistral-ocr-latest",
+    "document": {
+        "type": "document_url",
+        "document_url": "https://arxiv.org/pdf/2201.04234"
+    },
+    "include_image_base64": true
+  }'
+```
+
+### **Example 2: Chat API**
+
+#### LiteLLM Proxy Call 
+
+```bash
+curl -L -X POST 'http://0.0.0.0:4000/mistral/v1/chat/completions' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer $LITELLM_VIRTUAL_KEY' \
+-d '{
+    "messages": [
+        {
+            "role": "user",
+            "content": "I am going to Paris, what should I see?"
+        }
+    ],
+    "max_tokens": 2048,
+    "temperature": 0.8,
+    "top_p": 0.1,
+    "model": "mistral-large-latest",
+}'
+```
+
+#### Direct Mistral API Call 
+
+```bash
+curl -L -X POST 'https://api.mistral.ai/v1/chat/completions' \
+-H 'Content-Type: application/json' \
+-d '{
+    "messages": [
+        {
+            "role": "user",
+            "content": "I am going to Paris, what should I see?"
+        }
+    ],
+    "max_tokens": 2048,
+    "temperature": 0.8,
+    "top_p": 0.1,
+    "model": "mistral-large-latest",
+}'
+```
+
+
+## Advanced - Use with Virtual Keys 
+
+Pre-requisites
+- [Setup proxy with DB](../proxy/virtual_keys.md#setup)
+
+Use this, to avoid giving developers the raw Mistral API key, but still letting them use Mistral endpoints.
+
+### Usage
+
+1. Setup environment
+
+```bash
+export DATABASE_URL=""
+export LITELLM_MASTER_KEY=""
+export MISTRAL_API_BASE=""
+```
+
+```bash
+litellm
+
+# RUNNING on http://0.0.0.0:4000
+```
+
+2. Generate virtual key 
+
+```bash
+curl -X POST 'http://0.0.0.0:4000/key/generate' \
+-H 'Authorization: Bearer sk-1234' \
+-H 'Content-Type: application/json' \
+-d '{}'
+```
+
+Expected Response 
+
+```bash
+{
+    ...
+    "key": "sk-1234ewknldferwedojwojw"
+}
+```
+
+3. Test it! 
+
+
+```bash
+curl -L -X POST 'http://0.0.0.0:4000/mistral/v1/chat/completions' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer sk-1234ewknldferwedojwojw' \
+  --data '{
+    "messages": [
+        {
+            "role": "user",
+            "content": "I am going to Paris, what should I see?"
+        }
+    ],
+    "max_tokens": 2048,
+    "temperature": 0.8,
+    "top_p": 0.1,
+    "model": "qwen2.5-7b-instruct",
+}'
+```
\ No newline at end of file
diff --git a/docs/my-website/docs/pass_through/vllm.md b/docs/my-website/docs/pass_through/vllm.md
new file mode 100644
index 00000000000..b267622948b
--- /dev/null
+++ b/docs/my-website/docs/pass_through/vllm.md
@@ -0,0 +1,185 @@
+# VLLM
+
+Pass-through endpoints for VLLM - call provider-specific endpoint, in native format (no translation).
+
+| Feature | Supported | Notes | 
+|-------|-------|-------|
+| Cost Tracking | ❌ | Not supported |
+| Logging | ✅ | works across all integrations |
+| End-user Tracking | ❌ | [Tell us if you need this](https://github.com/BerriAI/litellm/issues/new) |
+| Streaming | ✅ | |
+
+Just replace `https://my-vllm-server.com` with `LITELLM_PROXY_BASE_URL/vllm` 🚀
+
+#### **Example Usage**
+
+```bash
+curl -L -X GET 'http://0.0.0.0:4000/vllm/metrics' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer sk-1234' \
+```
+
+Supports **ALL** VLLM Endpoints (including streaming).
+
+## Quick Start
+
+Let's call the VLLM [`/metrics` endpoint](https://vllm.readthedocs.io/en/latest/api_reference/api_reference.html)
+
+1. Add HOSTED VLLM API BASE to your environment 
+
+```bash
+export HOSTED_VLLM_API_BASE="https://my-vllm-server.com"
+```
+
+2. Start LiteLLM Proxy 
+
+```bash
+litellm
+
+# RUNNING on http://0.0.0.0:4000
+```
+
+3. Test it! 
+
+Let's call the VLLM `/metrics` endpoint
+
+```bash
+curl -L -X GET 'http://0.0.0.0:4000/vllm/metrics' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer sk-1234' \
+```
+
+
+## Examples
+
+Anything after `http://0.0.0.0:4000/vllm` is treated as a provider-specific route, and handled accordingly.
+
+Key Changes: 
+
+| **Original Endpoint**                                | **Replace With**                  |
+|------------------------------------------------------|-----------------------------------|
+| `https://my-vllm-server.com`          | `http://0.0.0.0:4000/vllm` (LITELLM_PROXY_BASE_URL="http://0.0.0.0:4000")      |
+| `bearer $VLLM_API_KEY`                                 | `bearer anything` (use `bearer LITELLM_VIRTUAL_KEY` if Virtual Keys are setup on proxy)                    |
+
+
+### **Example 1: Metrics endpoint**
+
+#### LiteLLM Proxy Call 
+
+```bash
+curl -L -X GET 'http://0.0.0.0:4000/vllm/metrics' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer $LITELLM_VIRTUAL_KEY' \
+```
+
+
+#### Direct VLLM API Call 
+
+```bash
+curl -L -X GET 'https://my-vllm-server.com/metrics' \
+-H 'Content-Type: application/json' \
+```
+
+### **Example 2: Chat API**
+
+#### LiteLLM Proxy Call 
+
+```bash
+curl -L -X POST 'http://0.0.0.0:4000/vllm/chat/completions' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer $LITELLM_VIRTUAL_KEY' \
+-d '{
+    "messages": [
+        {
+            "role": "user",
+            "content": "I am going to Paris, what should I see?"
+        }
+    ],
+    "max_tokens": 2048,
+    "temperature": 0.8,
+    "top_p": 0.1,
+    "model": "qwen2.5-7b-instruct",
+}'
+```
+
+#### Direct VLLM API Call 
+
+```bash
+curl -L -X POST 'https://my-vllm-server.com/chat/completions' \
+-H 'Content-Type: application/json' \
+-d '{
+    "messages": [
+        {
+            "role": "user",
+            "content": "I am going to Paris, what should I see?"
+        }
+    ],
+    "max_tokens": 2048,
+    "temperature": 0.8,
+    "top_p": 0.1,
+    "model": "qwen2.5-7b-instruct",
+}'
+```
+
+
+## Advanced - Use with Virtual Keys 
+
+Pre-requisites
+- [Setup proxy with DB](../proxy/virtual_keys.md#setup)
+
+Use this, to avoid giving developers the raw Cohere API key, but still letting them use Cohere endpoints.
+
+### Usage
+
+1. Setup environment
+
+```bash
+export DATABASE_URL=""
+export LITELLM_MASTER_KEY=""
+export HOSTED_VLLM_API_BASE=""
+```
+
+```bash
+litellm
+
+# RUNNING on http://0.0.0.0:4000
+```
+
+2. Generate virtual key 
+
+```bash
+curl -X POST 'http://0.0.0.0:4000/key/generate' \
+-H 'Authorization: Bearer sk-1234' \
+-H 'Content-Type: application/json' \
+-d '{}'
+```
+
+Expected Response 
+
+```bash
+{
+    ...
+    "key": "sk-1234ewknldferwedojwojw"
+}
+```
+
+3. Test it! 
+
+
+```bash
+curl -L -X POST 'http://0.0.0.0:4000/vllm/chat/completions' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer sk-1234ewknldferwedojwojw' \
+  --data '{
+    "messages": [
+        {
+            "role": "user",
+            "content": "I am going to Paris, what should I see?"
+        }
+    ],
+    "max_tokens": 2048,
+    "temperature": 0.8,
+    "top_p": 0.1,
+    "model": "qwen2.5-7b-instruct",
+}'
+```
\ No newline at end of file
diff --git a/docs/my-website/docs/providers/azure.md b/docs/my-website/docs/providers/azure.md
index f345c3db36b..e58d8a7b5d3 100644
--- a/docs/my-website/docs/providers/azure.md
+++ b/docs/my-website/docs/providers/azure.md
@@ -1011,8 +1011,7 @@ Expected Response:
 | Supported Operations | `/v1/responses`|
 | Azure OpenAI Responses API | [Azure OpenAI Responses API ↗](https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/responses?tabs=python-secure) |
 | Cost Tracking, Logging Support | ✅ LiteLLM will log, track cost for Responses API Requests |
-
-
+| Supported OpenAI Params | ✅ All OpenAI params are supported, [See here](https://github.com/BerriAI/litellm/blob/0717369ae6969882d149933da48eeb8ab0e691bd/litellm/llms/openai/responses/transformation.py#L23) |
 
 ## Usage
 
diff --git a/docs/my-website/docs/providers/gemini.md b/docs/my-website/docs/providers/gemini.md
index db63d33d8d6..434df6a7c97 100644
--- a/docs/my-website/docs/providers/gemini.md
+++ b/docs/my-website/docs/providers/gemini.md
@@ -39,14 +39,164 @@ response = completion(
 - temperature
 - top_p
 - max_tokens
+- max_completion_tokens
 - stream
 - tools
 - tool_choice
+- functions
 - response_format
 - n
 - stop
+- logprobs
+- frequency_penalty
+- modalities
+- reasoning_content
+
+**Anthropic Params**
+- thinking (used to set max budget tokens across anthropic/gemini models)
+
+[**See Updated List**](https://github.com/BerriAI/litellm/blob/main/litellm/llms/gemini/chat/transformation.py#L70)
+
+
+
+## Usage - Thinking / `reasoning_content`
+
+LiteLLM translates OpenAI's `reasoning_effort` to Gemini's `thinking` parameter. [Code](https://github.com/BerriAI/litellm/blob/620664921902d7a9bfb29897a7b27c1a7ef4ddfb/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py#L362)
+
+**Mapping**
+
+| reasoning_effort | thinking |
+| ---------------- | -------- |
+| "low"            | "budget_tokens": 1024 |
+| "medium"         | "budget_tokens": 2048 |
+| "high"           | "budget_tokens": 4096 |
+
+<Tabs>
+<TabItem value="sdk" label="SDK">
+
+```python
+from litellm import completion
+
+resp = completion(
+    model="gemini/gemini-2.5-flash-preview-04-17",
+    messages=[{"role": "user", "content": "What is the capital of France?"}],
+    reasoning_effort="low",
+)
+
+```
+
+</TabItem>
+
+<TabItem value="proxy" label="PROXY">
+
+1. Setup config.yaml
+
+```yaml
+- model_name: gemini-2.5-flash
+  litellm_params:
+    model: gemini/gemini-2.5-flash-preview-04-17
+    api_key: os.environ/GEMINI_API_KEY
+```
+
+2. Start proxy
+
+```bash
+litellm --config /path/to/config.yaml
+```
+
+3. Test it! 
+
+```bash
+curl http://0.0.0.0:4000/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer <YOUR-LITELLM-KEY>" \
+  -d '{
+    "model": "gemini-2.5-flash",
+    "messages": [{"role": "user", "content": "What is the capital of France?"}],
+    "reasoning_effort": "low"
+  }'
+```
+
+</TabItem>
+</Tabs>
+
+
+**Expected Response**
+
+```python
+ModelResponse(
+    id='chatcmpl-c542d76d-f675-4e87-8e5f-05855f5d0f5e',
+    created=1740470510,
+    model='claude-3-7-sonnet-20250219',
+    object='chat.completion',
+    system_fingerprint=None,
+    choices=[
+        Choices(
+            finish_reason='stop',
+            index=0,
+            message=Message(
+                content="The capital of France is Paris.",
+                role='assistant',
+                tool_calls=None,
+                function_call=None,
+                reasoning_content='The capital of France is Paris. This is a very straightforward factual question.'
+            ),
+        )
+    ],
+    usage=Usage(
+        completion_tokens=68,
+        prompt_tokens=42,
+        total_tokens=110,
+        completion_tokens_details=None,
+        prompt_tokens_details=PromptTokensDetailsWrapper(
+            audio_tokens=None,
+            cached_tokens=0,
+            text_tokens=None,
+            image_tokens=None
+        ),
+        cache_creation_input_tokens=0,
+        cache_read_input_tokens=0
+    )
+)
+```
+
+### Pass `thinking` to Gemini models
+
+You can also pass the `thinking` parameter to Gemini models.
+
+This is translated to Gemini's [`thinkingConfig` parameter](https://ai.google.dev/gemini-api/docs/thinking#set-budget).
+
+<Tabs>
+<TabItem value="sdk" label="SDK">
+
+```python
+response = litellm.completion(
+  model="gemini/gemini-2.5-flash-preview-04-17",
+  messages=[{"role": "user", "content": "What is the capital of France?"}],
+  thinking={"type": "enabled", "budget_tokens": 1024},
+)
+```
+
+</TabItem>
+<TabItem value="proxy" label="PROXY">
+
+```bash
+curl http://0.0.0.0:4000/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer $LITELLM_KEY" \
+  -d '{
+    "model": "gemini/gemini-2.5-flash-preview-04-17",
+    "messages": [{"role": "user", "content": "What is the capital of France?"}],
+    "thinking": {"type": "enabled", "budget_tokens": 1024}
+  }'
+```
+
+</TabItem>
+</Tabs>
+
+
+
 
-[**See Updated List**](https://github.com/BerriAI/litellm/blob/1c747f3ad372399c5b95cc5696b06a5fbe53186b/litellm/llms/vertex_httpx.py#L122)
 
 ## Passing Gemini Specific Params
 ### Response schema 
diff --git a/docs/my-website/docs/providers/openai.md b/docs/my-website/docs/providers/openai.md
index 9ab9061aaa9..a4aee5dbf70 100644
--- a/docs/my-website/docs/providers/openai.md
+++ b/docs/my-website/docs/providers/openai.md
@@ -163,6 +163,12 @@ os.environ["OPENAI_API_BASE"] = "openaiai-api-base"     # OPTIONAL
 
 | Model Name            | Function Call                                                   |
 |-----------------------|-----------------------------------------------------------------|
+| gpt-4.1 | `response = completion(model="gpt-4.1", messages=messages)` |
+| gpt-4.1-mini | `response = completion(model="gpt-4.1-mini", messages=messages)` |
+| gpt-4.1-nano | `response = completion(model="gpt-4.1-nano", messages=messages)` |
+| o4-mini | `response = completion(model="o4-mini", messages=messages)` |
+| o3-mini | `response = completion(model="o3-mini", messages=messages)` |
+| o3 | `response = completion(model="o3", messages=messages)` |
 | o1-mini | `response = completion(model="o1-mini", messages=messages)` |
 | o1-preview | `response = completion(model="o1-preview", messages=messages)` |
 | gpt-4o-mini  | `response = completion(model="gpt-4o-mini", messages=messages)` |
diff --git a/docs/my-website/docs/providers/vertex.md b/docs/my-website/docs/providers/vertex.md
index 476cc8a4536..762bd5f332b 100644
--- a/docs/my-website/docs/providers/vertex.md
+++ b/docs/my-website/docs/providers/vertex.md
@@ -542,6 +542,154 @@ print(resp)
 ```
 
 
+### **Thinking / `reasoning_content`**
+
+LiteLLM translates OpenAI's `reasoning_effort` to Gemini's `thinking` parameter. [Code](https://github.com/BerriAI/litellm/blob/620664921902d7a9bfb29897a7b27c1a7ef4ddfb/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py#L362)
+
+**Mapping**
+
+| reasoning_effort | thinking |
+| ---------------- | -------- |
+| "low"            | "budget_tokens": 1024 |
+| "medium"         | "budget_tokens": 2048 |
+| "high"           | "budget_tokens": 4096 |
+
+<Tabs>
+<TabItem value="sdk" label="SDK">
+
+```python
+from litellm import completion
+
+# !gcloud auth application-default login - run this to add vertex credentials to your env
+
+resp = completion(
+    model="vertex_ai/gemini-2.5-flash-preview-04-17",
+    messages=[{"role": "user", "content": "What is the capital of France?"}],
+    reasoning_effort="low",
+    vertex_project="project-id",
+    vertex_location="us-central1"
+)
+
+```
+
+</TabItem>
+
+<TabItem value="proxy" label="PROXY">
+
+1. Setup config.yaml
+
+```yaml
+- model_name: gemini-2.5-flash
+  litellm_params:
+    model: vertex_ai/gemini-2.5-flash-preview-04-17
+    vertex_credentials: {"project_id": "project-id", "location": "us-central1", "project_key": "project-key"}
+    vertex_project: "project-id"
+    vertex_location: "us-central1"
+```
+
+2. Start proxy
+
+```bash
+litellm --config /path/to/config.yaml
+```
+
+3. Test it! 
+
+```bash
+curl http://0.0.0.0:4000/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer <YOUR-LITELLM-KEY>" \
+  -d '{
+    "model": "gemini-2.5-flash",
+    "messages": [{"role": "user", "content": "What is the capital of France?"}],
+    "reasoning_effort": "low"
+  }'
+```
+
+</TabItem>
+</Tabs>
+
+
+**Expected Response**
+
+```python
+ModelResponse(
+    id='chatcmpl-c542d76d-f675-4e87-8e5f-05855f5d0f5e',
+    created=1740470510,
+    model='claude-3-7-sonnet-20250219',
+    object='chat.completion',
+    system_fingerprint=None,
+    choices=[
+        Choices(
+            finish_reason='stop',
+            index=0,
+            message=Message(
+                content="The capital of France is Paris.",
+                role='assistant',
+                tool_calls=None,
+                function_call=None,
+                reasoning_content='The capital of France is Paris. This is a very straightforward factual question.'
+            ),
+        )
+    ],
+    usage=Usage(
+        completion_tokens=68,
+        prompt_tokens=42,
+        total_tokens=110,
+        completion_tokens_details=None,
+        prompt_tokens_details=PromptTokensDetailsWrapper(
+            audio_tokens=None,
+            cached_tokens=0,
+            text_tokens=None,
+            image_tokens=None
+        ),
+        cache_creation_input_tokens=0,
+        cache_read_input_tokens=0
+    )
+)
+```
+
+#### Pass `thinking` to Gemini models
+
+You can also pass the `thinking` parameter to Gemini models.
+
+This is translated to Gemini's [`thinkingConfig` parameter](https://ai.google.dev/gemini-api/docs/thinking#set-budget).
+
+<Tabs>
+<TabItem value="sdk" label="SDK">
+
+```python
+from litellm import completion
+
+# !gcloud auth application-default login - run this to add vertex credentials to your env
+
+response = litellm.completion(
+  model="vertex_ai/gemini-2.5-flash-preview-04-17",
+  messages=[{"role": "user", "content": "What is the capital of France?"}],
+  thinking={"type": "enabled", "budget_tokens": 1024},
+  vertex_project="project-id",
+  vertex_location="us-central1"
+)
+```
+
+</TabItem>
+<TabItem value="proxy" label="PROXY">
+
+```bash
+curl http://0.0.0.0:4000/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer $LITELLM_KEY" \
+  -d '{
+    "model": "vertex_ai/gemini-2.5-flash-preview-04-17",
+    "messages": [{"role": "user", "content": "What is the capital of France?"}],
+    "thinking": {"type": "enabled", "budget_tokens": 1024}
+  }'
+```
+
+</TabItem>
+</Tabs>
+
+
 ### **Context Caching**
 
 Use Vertex AI context caching is supported by calling provider api directly. (Unified Endpoint support comin soon.).
diff --git a/docs/my-website/docs/providers/vllm.md b/docs/my-website/docs/providers/vllm.md
index b5987167ecf..5c8233b0564 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/docs/proxy/model_discovery.md b/docs/my-website/docs/proxy/model_discovery.md
new file mode 100644
index 00000000000..5790dfc5200
--- /dev/null
+++ b/docs/my-website/docs/proxy/model_discovery.md
@@ -0,0 +1,108 @@
+# Model Discovery
+
+Use this to give users an accurate list of models available behind provider endpoint, when calling `/v1/models` for wildcard models.
+
+## Supported Models
+
+- Fireworks AI
+- OpenAI
+- Gemini
+- LiteLLM Proxy
+- Topaz
+- Anthropic
+- XAI
+- VLLM
+- Vertex AI
+
+### Usage
+
+**1. Setup config.yaml**
+
+```yaml
+model_list:
+    - model_name: xai/*
+      litellm_params:
+        model: xai/*
+        api_key: os.environ/XAI_API_KEY
+
+litellm_settings:
+    check_provider_endpoint: true # 👈 Enable checking provider endpoint for wildcard models
+```
+
+**2. Start proxy**
+
+```bash
+litellm --config /path/to/config.yaml
+
+# RUNNING on http://0.0.0.0:4000
+```
+
+**3. Call `/v1/models`**
+
+```bash
+curl -X GET "http://localhost:4000/v1/models" -H "Authorization: Bearer $LITELLM_KEY"
+```
+
+Expected response
+
+```json
+{
+    "data": [
+        {
+            "id": "xai/grok-2-1212",
+            "object": "model",
+            "created": 1677610602,
+            "owned_by": "openai"
+        },
+        {
+            "id": "xai/grok-2-vision-1212",
+            "object": "model",
+            "created": 1677610602,
+            "owned_by": "openai"
+        },
+        {
+            "id": "xai/grok-3-beta",
+            "object": "model",
+            "created": 1677610602,
+            "owned_by": "openai"
+        },
+        {
+            "id": "xai/grok-3-fast-beta",
+            "object": "model",
+            "created": 1677610602,
+            "owned_by": "openai"
+        },
+        {
+            "id": "xai/grok-3-mini-beta",
+            "object": "model",
+            "created": 1677610602,
+            "owned_by": "openai"
+        },
+        {
+            "id": "xai/grok-3-mini-fast-beta",
+            "object": "model",
+            "created": 1677610602,
+            "owned_by": "openai"
+        },
+        {
+            "id": "xai/grok-beta",
+            "object": "model",
+            "created": 1677610602,
+            "owned_by": "openai"
+        },
+        {
+            "id": "xai/grok-vision-beta",
+            "object": "model",
+            "created": 1677610602,
+            "owned_by": "openai"
+        },
+        {
+            "id": "xai/grok-2-image-1212",
+            "object": "model",
+            "created": 1677610602,
+            "owned_by": "openai"
+        }
+    ],
+    "object": "list"
+}
+```
\ No newline at end of file
diff --git a/docs/my-website/docs/reasoning_content.md b/docs/my-website/docs/reasoning_content.md
index 86ef58bd686..12a0f17ba0b 100644
--- a/docs/my-website/docs/reasoning_content.md
+++ b/docs/my-website/docs/reasoning_content.md
@@ -16,6 +16,8 @@ Supported Providers:
 - Vertex AI (Anthropic) (`vertexai/`)
 - OpenRouter (`openrouter/`)
 - XAI (`xai/`)
+- Google AI Studio (`google/`)
+- Vertex AI (`vertex_ai/`)
 
 LiteLLM will standardize the `reasoning_content` in the response and `thinking_blocks` in the assistant message.
 
@@ -23,7 +25,7 @@ LiteLLM will standardize the `reasoning_content` in the response and `thinking_b
 "message": {
     ...
     "reasoning_content": "The capital of France is Paris.",
-    "thinking_blocks": [
+    "thinking_blocks": [ # only returned for Anthropic models
         {
             "type": "thinking",
             "thinking": "The capital of France is Paris.",
diff --git a/docs/my-website/docs/response_api.md b/docs/my-website/docs/response_api.md
index 71d15ded055..506a6ee000b 100644
--- a/docs/my-website/docs/response_api.md
+++ b/docs/my-website/docs/response_api.md
@@ -520,6 +520,3 @@ for event in response:
 | `azure_ai` | [See supported parameters here](https://github.com/BerriAI/litellm/blob/f39d9178868662746f159d5ef642c7f34f9bfe5f/litellm/responses/litellm_completion_transformation/transformation.py#L57) |
 | All other llm api providers | [See supported parameters here](https://github.com/BerriAI/litellm/blob/f39d9178868662746f159d5ef642c7f34f9bfe5f/litellm/responses/litellm_completion_transformation/transformation.py#L57) |
 
-
-
-
diff --git a/docs/my-website/img/release_notes/new_tag_usage.png b/docs/my-website/img/release_notes/new_tag_usage.png
new file mode 100644
index 00000000000..4188cbc2459
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diff --git a/docs/my-website/img/release_notes/new_team_usage.png b/docs/my-website/img/release_notes/new_team_usage.png
new file mode 100644
index 00000000000..5fea2506d95
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diff --git a/docs/my-website/img/release_notes/new_team_usage_highlight.jpg b/docs/my-website/img/release_notes/new_team_usage_highlight.jpg
new file mode 100644
index 00000000000..05dbf4b9181
Binary files /dev/null and b/docs/my-website/img/release_notes/new_team_usage_highlight.jpg differ
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
new file mode 100644
index 00000000000..75e9b72b13f
--- /dev/null
+++ b/docs/my-website/release_notes/v1.67.0-stable/index.md
@@ -0,0 +1,136 @@
+---
+title: v1.67.0-stable - Unified Responses API
+slug: v1.67.0-stable
+date: 2025-04-19T10:00:00
+authors:
+  - name: Krrish Dholakia
+    title: CEO, LiteLLM
+    url: https://www.linkedin.com/in/krish-d/
+    image_url: https://media.licdn.com/dms/image/v2/D4D03AQGrlsJ3aqpHmQ/profile-displayphoto-shrink_400_400/B4DZSAzgP7HYAg-/0/1737327772964?e=1749686400&v=beta&t=Hkl3U8Ps0VtvNxX0BNNq24b4dtX5wQaPFp6oiKCIHD8
+  - name: Ishaan Jaffer
+    title: CTO, LiteLLM
+    url: https://www.linkedin.com/in/reffajnaahsi/
+    image_url: https://pbs.twimg.com/profile_images/1613813310264340481/lz54oEiB_400x400.jpg
+
+tags: ["sso", "unified_file_id", "cost_tracking", "security"]
+hide_table_of_contents: false
+---
+import Image from '@theme/IdealImage';
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+## Key Highlights
+
+- **Team and Tag based usage tracking**: You can now see usage and spend by team and tag at 1M+ spend logs.
+- **SCIM Integration**: Enables identity providers (Okta, Azure AD, OneLogin, etc.) to automate user and team (group) provisioning, updates, and deprovisioning
+- **Unified Responses API**: Support for calling Anthropic, Gemini, Groq, etc. via OpenAI's new Responses API.
+
+Let's dive in.
+
+## Team and Tag based usage tracking
+
+<Image img={require('../../img/release_notes/new_team_usage_highlight.jpg')}/>
+
+
+This release improves team and tag based usage tracking at 1m+ spend logs, making it easy to monitor your LLM API Spend in production. This covers:
+
+- **Admins** can view spend across all teams + tags
+- **Admins** can now see spend across multiple tags
+- **Admins** can now check the activity by key, within teams
+- **Internal Users** can now view spend of teams they’re a member of
+
+[Read more](#management-endpoints--ui)
+
+## New Models / Updated Models
+
+- **OpenAI**
+    1. gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, o3, o3-mini, o4-mini pricing - [Get Started](../../docs/providers/openai#usage), [PR](https://github.com/BerriAI/litellm/pull/9990)
+    2. o4 - correctly map o4 to openai o_series model
+- **Azure AI**
+    1. Phi-4 output cost per token fix - [PR](https://github.com/BerriAI/litellm/pull/9880)
+    2. Responses API support [Get Started](../../docs/providers/azure#azure-responses-api),[PR](https://github.com/BerriAI/litellm/pull/10116)
+- **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 - [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)
+    3. Add gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, o3, o3-mini, o4-mini pricing
+- **VLLM**
+    1. Files - Support 'file' message type for VLLM video url's - [Get Started](../../docs/providers/vllm#send-video-url-to-vllm), [PR](https://github.com/BerriAI/litellm/pull/10129)
+    2. Passthrough - new `/vllm/` passthrough endpoint support [Get Started](../../docs/pass_through/vllm), [PR](https://github.com/BerriAI/litellm/pull/10002)
+- **Mistral**
+    1. new `/mistral` passthrough endpoint support [Get Started](../../docs/pass_through/mistral), [PR](https://github.com/BerriAI/litellm/pull/10002)
+- **AWS**
+    1. New mapped bedrock regions - [PR](https://github.com/BerriAI/litellm/pull/9430)
+- **VertexAI / Google AI Studio**
+    1. Gemini - Response format - Retain schema field ordering for google gemini and vertex by specifying propertyOrdering - [Get Started](../../docs/providers/vertex#json-schema), [PR](https://github.com/BerriAI/litellm/pull/9828)
+    2. Gemini-2.5-flash - return reasoning content [Google AI Studio](../../docs/providers/gemini#usage---thinking--reasoning_content), [Vertex AI](../../docs/providers/vertex#thinking--reasoning_content)
+    3. Gemini-2.5-flash - pricing + model information [PR](https://github.com/BerriAI/litellm/pull/10125)
+    4. Passthrough - new `/vertex_ai/discovery` route - enables calling AgentBuilder API routes [Get Started](../../docs/pass_through/vertex_ai#supported-api-endpoints), [PR](https://github.com/BerriAI/litellm/pull/10084)
+- **Fireworks AI**
+    1. return tool calling responses in `tool_calls` field (fireworks incorrectly returns this as a json str in content) [PR](https://github.com/BerriAI/litellm/pull/10130)
+- **Triton**
+    1. Remove fixed remove bad_words / stop words from `/generate` call - [Get Started](../../docs/providers/triton-inference-server#triton-generate---chat-completion), [PR](https://github.com/BerriAI/litellm/pull/10163)
+- **Other**
+    1. Support for all litellm providers on Responses API (works with Codex) - [Get Started](../../docs/tutorials/openai_codex), [PR](https://github.com/BerriAI/litellm/pull/10132)
+    2. Fix combining multiple tool calls in streaming response - [Get Started](../../docs/completion/stream#helper-function), [PR](https://github.com/BerriAI/litellm/pull/10040)
+
+
+## Spend Tracking Improvements
+
+- **Cost Control** - inject cache control points in prompt for cost reduction [Get Started](../../docs/tutorials/prompt_caching), [PR](https://github.com/BerriAI/litellm/pull/10000)
+- **Spend Tags** - spend tags in headers - support x-litellm-tags even if tag based routing not enabled [Get Started](../../docs/proxy/request_headers#litellm-headers), [PR](https://github.com/BerriAI/litellm/pull/10000)
+- **Gemini-2.5-flash** - support cost calculation for reasoning tokens [PR](https://github.com/BerriAI/litellm/pull/10141)
+
+## Management Endpoints / UI
+- **Users**
+    1. Show created_at and updated_at on users page - [PR](https://github.com/BerriAI/litellm/pull/10033)
+- **Virtual Keys**
+    1. Filter by key alias - https://github.com/BerriAI/litellm/pull/10085
+- **Usage Tab**
+
+    1. Team based usage
+        
+        - New `LiteLLM_DailyTeamSpend` Table for aggregate team based usage logging - [PR](https://github.com/BerriAI/litellm/pull/10039)
+        
+        - New Team based usage dashboard + new `/team/daily/activity` API - [PR](https://github.com/BerriAI/litellm/pull/10081)
+        - Return team alias on /team/daily/activity API - [PR](https://github.com/BerriAI/litellm/pull/10157)
+        - allow internal user view spend for teams they belong to - [PR](https://github.com/BerriAI/litellm/pull/10157)
+        - allow viewing top keys by team - [PR](https://github.com/BerriAI/litellm/pull/10157)
+
+        <Image img={require('../../img/release_notes/new_team_usage.png')}/>
+
+    2. Tag Based Usage
+        - New `LiteLLM_DailyTagSpend` Table for aggregate tag based usage logging - [PR](https://github.com/BerriAI/litellm/pull/10071)
+        - Restrict to only Proxy Admins - [PR](https://github.com/BerriAI/litellm/pull/10157)
+        - allow viewing top keys by tag
+        - Return tags passed in request (i.e. dynamic tags) on `/tag/list` API - [PR](https://github.com/BerriAI/litellm/pull/10157)
+        <Image img={require('../../img/release_notes/new_tag_usage.png')}/>
+    3. Track prompt caching metrics in daily user, team, tag tables - [PR](https://github.com/BerriAI/litellm/pull/10029)
+    4. Show usage by key (on all up, team, and tag usage dashboards) - [PR](https://github.com/BerriAI/litellm/pull/10157)
+    5. swap old usage with new usage tab
+- **Models**
+    1. Make columns resizable/hideable - [PR](https://github.com/BerriAI/litellm/pull/10119)
+- **API Playground**
+    1. Allow internal user to call api playground - [PR](https://github.com/BerriAI/litellm/pull/10157)
+- **SCIM**
+    1. Add LiteLLM SCIM Integration for Team and User management - [Get Started](ADD DOCS HERE), [PR](https://github.com/BerriAI/litellm/pull/10072)
+
+
+## Logging / Guardrail Integrations
+- **GCS**
+    1. Fix gcs pub sub logging with env var GCS_PROJECT_ID - [Get Started](../../docs/observability/gcs_bucket_integration#usage), [PR](https://github.com/BerriAI/litellm/pull/10042)
+- **AIM**
+    1. Add litellm call id passing to Aim guardrails on pre and post-hooks calls - [Get Started](../../docs/proxy/guardrails/aim_security), [PR](https://github.com/BerriAI/litellm/pull/10021)
+- **Azure blob storage**
+    1. Ensure logging works in high throughput scenarios - [Get Started](../../docs/proxy/logging#azure-blob-storage), [PR](https://github.com/BerriAI/litellm/pull/9962)
+
+## General Proxy Improvements
+
+- **Support setting `litellm.modify_params` via env var** [PR](https://github.com/BerriAI/litellm/pull/9964)
+- **Model Discovery** - Check provider’s `/models` endpoints when calling proxy’s `/v1/models` endpoint - [Get Started](../../docs/proxy/model_discovery), [PR](https://github.com/BerriAI/litellm/pull/9958)
+- **`/utils/token_counter`** - fix retrieving custom tokenizer for db models - [Get Started](../../docs/proxy/configs#set-custom-tokenizer), [PR](https://github.com/BerriAI/litellm/pull/10047)
+- **Prisma migrate** - handle existing columns in db table - [PR](https://github.com/BerriAI/litellm/pull/10138)
+
diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js
index bc9182305ad..f9401582fdd 100644
--- a/docs/my-website/sidebars.js
+++ b/docs/my-website/sidebars.js
@@ -69,6 +69,7 @@ const sidebars = {
             "proxy/clientside_auth",
             "proxy/request_headers",
             "proxy/response_headers",
+            "proxy/model_discovery",
           ],
         },
         {
@@ -330,6 +331,8 @@ const sidebars = {
             "pass_through/vertex_ai",
             "pass_through/google_ai_studio",
             "pass_through/cohere",
+            "pass_through/vllm",
+            "pass_through/mistral",
             "pass_through/openai_passthrough",
             "pass_through/anthropic_completion",
             "pass_through/bedrock",
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 40d399aa682..91a330b2bc6 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -1530,6 +1530,170 @@
             "search_context_size_high": 50e-3
         }
     },
+    "azure/gpt-4.1-mini": {
+        "max_tokens": 32768,
+        "max_input_tokens": 1047576,
+        "max_output_tokens": 32768,
+        "input_cost_per_token": 0.4e-6,
+        "output_cost_per_token": 1.6e-6,
+        "input_cost_per_token_batches": 0.2e-6,
+        "output_cost_per_token_batches": 0.8e-6,
+        "cache_read_input_token_cost": 0.1e-6,
+        "litellm_provider": "azure",
+        "mode": "chat",
+        "supported_endpoints": ["/v1/chat/completions", "/v1/batch", "/v1/responses"],
+        "supported_modalities": ["text", "image"],
+        "supported_output_modalities": ["text"],
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": true,
+        "supports_response_schema": true,
+        "supports_vision": true,
+        "supports_prompt_caching": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_native_streaming": true,
+        "supports_web_search": true,
+        "search_context_cost_per_query": {
+            "search_context_size_low": 25e-3,
+            "search_context_size_medium": 27.5e-3,
+            "search_context_size_high": 30e-3
+        }
+    },
+    "azure/gpt-4.1-mini-2025-04-14": {
+        "max_tokens": 32768,
+        "max_input_tokens": 1047576,
+        "max_output_tokens": 32768,
+        "input_cost_per_token": 0.4e-6,
+        "output_cost_per_token": 1.6e-6,
+        "input_cost_per_token_batches": 0.2e-6,
+        "output_cost_per_token_batches": 0.8e-6,
+        "cache_read_input_token_cost": 0.1e-6,
+        "litellm_provider": "azure",
+        "mode": "chat",
+        "supported_endpoints": ["/v1/chat/completions", "/v1/batch", "/v1/responses"],
+        "supported_modalities": ["text", "image"],
+        "supported_output_modalities": ["text"],
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": true,
+        "supports_response_schema": true,
+        "supports_vision": true,
+        "supports_prompt_caching": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_native_streaming": true,
+        "supports_web_search": true,
+        "search_context_cost_per_query": {
+            "search_context_size_low": 25e-3,
+            "search_context_size_medium": 27.5e-3,
+            "search_context_size_high": 30e-3
+        }
+    },
+    "azure/gpt-4.1-nano": {
+        "max_tokens": 32768,
+        "max_input_tokens": 1047576,
+        "max_output_tokens": 32768,
+        "input_cost_per_token": 0.1e-6,
+        "output_cost_per_token": 0.4e-6,
+        "input_cost_per_token_batches": 0.05e-6,
+        "output_cost_per_token_batches": 0.2e-6,
+        "cache_read_input_token_cost": 0.025e-6,
+        "litellm_provider": "azure",
+        "mode": "chat",
+        "supported_endpoints": ["/v1/chat/completions", "/v1/batch", "/v1/responses"],
+        "supported_modalities": ["text", "image"],
+        "supported_output_modalities": ["text"],
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": true,
+        "supports_response_schema": true,
+        "supports_vision": true,
+        "supports_prompt_caching": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_native_streaming": true
+    },
+    "azure/gpt-4.1-nano-2025-04-14": {
+        "max_tokens": 32768,
+        "max_input_tokens": 1047576,
+        "max_output_tokens": 32768,
+        "input_cost_per_token": 0.1e-6,
+        "output_cost_per_token": 0.4e-6,
+        "input_cost_per_token_batches": 0.05e-6,
+        "output_cost_per_token_batches": 0.2e-6,
+        "cache_read_input_token_cost": 0.025e-6,
+        "litellm_provider": "azure",
+        "mode": "chat",
+        "supported_endpoints": ["/v1/chat/completions", "/v1/batch", "/v1/responses"],
+        "supported_modalities": ["text", "image"],
+        "supported_output_modalities": ["text"],
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": true,
+        "supports_response_schema": true,
+        "supports_vision": true,
+        "supports_prompt_caching": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_native_streaming": true
+    },
+    "azure/o3": {
+        "max_tokens": 100000,
+        "max_input_tokens": 200000,
+        "max_output_tokens": 100000,
+        "input_cost_per_token": 1e-5,
+        "output_cost_per_token": 4e-5,
+        "cache_read_input_token_cost": 2.5e-6,
+        "litellm_provider": "azure",
+        "mode": "chat",
+        "supported_endpoints": ["/v1/chat/completions", "/v1/batch", "/v1/responses"],
+        "supported_modalities": ["text", "image"],
+        "supported_output_modalities": ["text"],
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": false,
+        "supports_vision": true,
+        "supports_prompt_caching": true,
+        "supports_response_schema": true,
+        "supports_reasoning": true,
+        "supports_tool_choice": true
+    },
+    "azure/o3-2025-04-16": {
+        "max_tokens": 100000,
+        "max_input_tokens": 200000,
+        "max_output_tokens": 100000,
+        "input_cost_per_token": 1e-5,
+        "output_cost_per_token": 4e-5,
+        "cache_read_input_token_cost": 2.5e-6,
+        "litellm_provider": "azure",
+        "mode": "chat",
+        "supported_endpoints": ["/v1/chat/completions", "/v1/batch", "/v1/responses"],
+        "supported_modalities": ["text", "image"],
+        "supported_output_modalities": ["text"],
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": false,
+        "supports_vision": true,
+        "supports_prompt_caching": true,
+        "supports_response_schema": true,
+        "supports_reasoning": true,
+        "supports_tool_choice": true
+    },
+    "azure/o4-mini": {
+        "max_tokens": 100000,
+        "max_input_tokens": 200000,
+        "max_output_tokens": 100000,
+        "input_cost_per_token": 1.1e-6,
+        "output_cost_per_token": 4.4e-6,
+        "cache_read_input_token_cost": 2.75e-7,
+        "litellm_provider": "azure",
+        "mode": "chat",
+        "supported_endpoints": ["/v1/chat/completions", "/v1/batch", "/v1/responses"],
+        "supported_modalities": ["text", "image"],
+        "supported_output_modalities": ["text"],
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": false,
+        "supports_vision": true,
+        "supports_prompt_caching": true,
+        "supports_response_schema": true,
+        "supports_reasoning": true,
+        "supports_tool_choice": true
+    },
     "azure/gpt-4o-mini-realtime-preview-2024-12-17": {
         "max_tokens": 4096,
         "max_input_tokens": 128000,
diff --git a/litellm/proxy/_new_secret_config.yaml b/litellm/proxy/_new_secret_config.yaml
index b1c4959e0b8..8516e9c25bd 100644
--- a/litellm/proxy/_new_secret_config.yaml
+++ b/litellm/proxy/_new_secret_config.yaml
@@ -26,8 +26,10 @@ model_list:
       model: azure/gpt-4.1
       api_key: os.environ/AZURE_API_KEY_REALTIME
       api_base: https://krris-m2f9a9i7-eastus2.openai.azure.com/
-
-
+  - model_name: "xai/*"
+    litellm_params:
+      model: xai/*
+      api_key: os.environ/XAI_API_KEY
 
 litellm_settings:
   num_retries: 0
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 40d399aa682..91a330b2bc6 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -1530,6 +1530,170 @@
             "search_context_size_high": 50e-3
         }
     },
+    "azure/gpt-4.1-mini": {
+        "max_tokens": 32768,
+        "max_input_tokens": 1047576,
+        "max_output_tokens": 32768,
+        "input_cost_per_token": 0.4e-6,
+        "output_cost_per_token": 1.6e-6,
+        "input_cost_per_token_batches": 0.2e-6,
+        "output_cost_per_token_batches": 0.8e-6,
+        "cache_read_input_token_cost": 0.1e-6,
+        "litellm_provider": "azure",
+        "mode": "chat",
+        "supported_endpoints": ["/v1/chat/completions", "/v1/batch", "/v1/responses"],
+        "supported_modalities": ["text", "image"],
+        "supported_output_modalities": ["text"],
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": true,
+        "supports_response_schema": true,
+        "supports_vision": true,
+        "supports_prompt_caching": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_native_streaming": true,
+        "supports_web_search": true,
+        "search_context_cost_per_query": {
+            "search_context_size_low": 25e-3,
+            "search_context_size_medium": 27.5e-3,
+            "search_context_size_high": 30e-3
+        }
+    },
+    "azure/gpt-4.1-mini-2025-04-14": {
+        "max_tokens": 32768,
+        "max_input_tokens": 1047576,
+        "max_output_tokens": 32768,
+        "input_cost_per_token": 0.4e-6,
+        "output_cost_per_token": 1.6e-6,
+        "input_cost_per_token_batches": 0.2e-6,
+        "output_cost_per_token_batches": 0.8e-6,
+        "cache_read_input_token_cost": 0.1e-6,
+        "litellm_provider": "azure",
+        "mode": "chat",
+        "supported_endpoints": ["/v1/chat/completions", "/v1/batch", "/v1/responses"],
+        "supported_modalities": ["text", "image"],
+        "supported_output_modalities": ["text"],
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": true,
+        "supports_response_schema": true,
+        "supports_vision": true,
+        "supports_prompt_caching": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_native_streaming": true,
+        "supports_web_search": true,
+        "search_context_cost_per_query": {
+            "search_context_size_low": 25e-3,
+            "search_context_size_medium": 27.5e-3,
+            "search_context_size_high": 30e-3
+        }
+    },
+    "azure/gpt-4.1-nano": {
+        "max_tokens": 32768,
+        "max_input_tokens": 1047576,
+        "max_output_tokens": 32768,
+        "input_cost_per_token": 0.1e-6,
+        "output_cost_per_token": 0.4e-6,
+        "input_cost_per_token_batches": 0.05e-6,
+        "output_cost_per_token_batches": 0.2e-6,
+        "cache_read_input_token_cost": 0.025e-6,
+        "litellm_provider": "azure",
+        "mode": "chat",
+        "supported_endpoints": ["/v1/chat/completions", "/v1/batch", "/v1/responses"],
+        "supported_modalities": ["text", "image"],
+        "supported_output_modalities": ["text"],
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": true,
+        "supports_response_schema": true,
+        "supports_vision": true,
+        "supports_prompt_caching": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_native_streaming": true
+    },
+    "azure/gpt-4.1-nano-2025-04-14": {
+        "max_tokens": 32768,
+        "max_input_tokens": 1047576,
+        "max_output_tokens": 32768,
+        "input_cost_per_token": 0.1e-6,
+        "output_cost_per_token": 0.4e-6,
+        "input_cost_per_token_batches": 0.05e-6,
+        "output_cost_per_token_batches": 0.2e-6,
+        "cache_read_input_token_cost": 0.025e-6,
+        "litellm_provider": "azure",
+        "mode": "chat",
+        "supported_endpoints": ["/v1/chat/completions", "/v1/batch", "/v1/responses"],
+        "supported_modalities": ["text", "image"],
+        "supported_output_modalities": ["text"],
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": true,
+        "supports_response_schema": true,
+        "supports_vision": true,
+        "supports_prompt_caching": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_native_streaming": true
+    },
+    "azure/o3": {
+        "max_tokens": 100000,
+        "max_input_tokens": 200000,
+        "max_output_tokens": 100000,
+        "input_cost_per_token": 1e-5,
+        "output_cost_per_token": 4e-5,
+        "cache_read_input_token_cost": 2.5e-6,
+        "litellm_provider": "azure",
+        "mode": "chat",
+        "supported_endpoints": ["/v1/chat/completions", "/v1/batch", "/v1/responses"],
+        "supported_modalities": ["text", "image"],
+        "supported_output_modalities": ["text"],
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": false,
+        "supports_vision": true,
+        "supports_prompt_caching": true,
+        "supports_response_schema": true,
+        "supports_reasoning": true,
+        "supports_tool_choice": true
+    },
+    "azure/o3-2025-04-16": {
+        "max_tokens": 100000,
+        "max_input_tokens": 200000,
+        "max_output_tokens": 100000,
+        "input_cost_per_token": 1e-5,
+        "output_cost_per_token": 4e-5,
+        "cache_read_input_token_cost": 2.5e-6,
+        "litellm_provider": "azure",
+        "mode": "chat",
+        "supported_endpoints": ["/v1/chat/completions", "/v1/batch", "/v1/responses"],
+        "supported_modalities": ["text", "image"],
+        "supported_output_modalities": ["text"],
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": false,
+        "supports_vision": true,
+        "supports_prompt_caching": true,
+        "supports_response_schema": true,
+        "supports_reasoning": true,
+        "supports_tool_choice": true
+    },
+    "azure/o4-mini": {
+        "max_tokens": 100000,
+        "max_input_tokens": 200000,
+        "max_output_tokens": 100000,
+        "input_cost_per_token": 1.1e-6,
+        "output_cost_per_token": 4.4e-6,
+        "cache_read_input_token_cost": 2.75e-7,
+        "litellm_provider": "azure",
+        "mode": "chat",
+        "supported_endpoints": ["/v1/chat/completions", "/v1/batch", "/v1/responses"],
+        "supported_modalities": ["text", "image"],
+        "supported_output_modalities": ["text"],
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": false,
+        "supports_vision": true,
+        "supports_prompt_caching": true,
+        "supports_response_schema": true,
+        "supports_reasoning": true,
+        "supports_tool_choice": true
+    },
     "azure/gpt-4o-mini-realtime-preview-2024-12-17": {
         "max_tokens": 4096,
         "max_input_tokens": 128000,