[Documentation] Litellm rerank deepinfra endpoint (#13845)

* Add documentation for deepinfra rerank endpoint

* Add the missed import

* fix supported param

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

@@ -1,3 +1,6 @@
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
 # DeepInfra
 https://deepinfra.com/
 
@@ -7,6 +10,11 @@ https://deepinfra.com/
 
 :::
 
+## Table of Contents
+
+- [API Key](#api-key)
+- [Chat Models](#chat-models)
+- [Rerank Endpoint](#rerank-endpoint)
 
 ## API Key
 ```python
@@ -53,3 +61,135 @@ for chunk in response:
 | codellama/CodeLlama-34b-Instruct-hf | `completion(model="deepinfra/codellama/CodeLlama-34b-Instruct-hf", messages)` |
 | mistralai/Mistral-7B-Instruct-v0.1 | `completion(model="deepinfra/mistralai/Mistral-7B-Instruct-v0.1", messages)` | 
 | jondurbin/airoboros-l2-70b-gpt4-1.4.1 | `completion(model="deepinfra/jondurbin/airoboros-l2-70b-gpt4-1.4.1", messages)` |
+
+## Rerank Endpoint
+
+LiteLLM provides a Cohere API compatible `/rerank` endpoint for DeepInfra rerank models.
+
+### Supported Rerank Models
+
+| Model Name | Description |
+|------------|-------------|
+| `deepinfra/Qwen/Qwen3-Reranker-0.6B` | Lightweight rerank model (0.6B parameters) |
+| `deepinfra/Qwen/Qwen3-Reranker-4B` | Medium rerank model (4B parameters) |
+| `deepinfra/Qwen/Qwen3-Reranker-8B` | Large rerank model (8B parameters) |
+
+### Usage - LiteLLM Python SDK
+
+<Tabs>
+<TabItem value="sdk" label="SDK">
+
+```python
+from litellm import rerank
+import os
+
+os.environ["DEEPINFRA_API_KEY"] = "your-api-key"
+
+response = rerank(
+    model="deepinfra/Qwen/Qwen3-Reranker-0.6B",
+    query="What is the capital of France?",
+    documents=[
+        "Paris is the capital of France.",
+        "London is the capital of the United Kingdom.",
+        "Berlin is the capital of Germany.",
+        "Madrid is the capital of Spain.",
+        "Rome is the capital of Italy."
+    ]
+)
+print(response)
+```
+
+</TabItem>
+<TabItem value="proxy" label="PROXY">
+
+1. Add to config.yaml
+```yaml
+model_list:
+  - model_name: Qwen/Qwen3-Reranker-0.6B
+    litellm_params:
+      model: deepinfra/Qwen/Qwen3-Reranker-0.6B
+      api_key: os.environ/DEEPINFRA_API_KEY
+```
+
+2. Start proxy 
+
+```bash
+litellm --config /path/to/config.yaml
+
+# RUNNING on http://0.0.0.0:4000/
+```
+
+3. Test it! 
+
+```bash 
+curl -L -X POST 'http://0.0.0.0:4000/rerank' \
+-H 'Authorization: Bearer sk-1234' \
+-H 'Content-Type: application/json' \
+-d '{
+    "model": "Qwen/Qwen3-Reranker-0.6B",
+    "query": "What is the capital of France?",
+    "documents": [
+        "Paris is the capital of France.",
+        "London is the capital of the United Kingdom.",
+        "Berlin is the capital of Germany.",
+        "Madrid is the capital of Spain.",
+        "Rome is the capital of Italy."
+    ]
+}'
+```
+
+</TabItem>
+</Tabs>
+
+### Supported Cohere Rerank API Params
+
+| Param              | Type        | Description                                     |
+| ------------------ | ----------- | ----------------------------------------------- |
+| `query`            | `str`       | The query to rerank the documents against       |
+| `documents`        | `list[str]` | The documents to rerank                         |
+
+
+### Provider-specific parameters
+Pass any deepinfra specific parameters as a keyword argument to the rerank function, e.g.
+
+```
+response = rerank(
+    model="deepinfra/Qwen/Qwen3-Reranker-0.6B",
+    query="What is the capital of France?",
+    documents=[
+        "Paris is the capital of France.",
+        "London is the capital of the United Kingdom.",
+        "Berlin is the capital of Germany.",
+        "Madrid is the capital of Spain.",
+        "Rome is the capital of Italy."
+    ],
+    my_custom_param="my_custom_value", # any other deepinfra specific parameters
+)
+```
+
+### Response Format
+
+```json
+{
+  "id": "request-id",
+  "results": [
+    {
+      "index": 0,
+      "relevance_score": 0.9975274205207825
+    },
+    {
+      "index": 1,
+      "relevance_score": 0.011687257327139378
+    }
+  ],
+  "meta": {
+    "billed_units": {
+      "total_tokens": 427
+    },
+    "tokens": {
+      "input_tokens": 427,
+      "output_tokens": 0
+    }
+  }
+}
+```

docs/my-website/docs/rerank.md

@@ -118,4 +118,5 @@ curl http://0.0.0.0:4000/rerank \
 | AWS Bedrock|   [Usage](../docs/providers/bedrock#rerank-api)                 |  
 | HuggingFace|   [Usage](../docs/providers/huggingface_rerank)                 |  
 | Infinity|   [Usage](../docs/providers/infinity)                 |  
-| vLLM|   [Usage](../docs/providers/vllm#rerank-endpoint)                 |  
+| vLLM|   [Usage](../docs/providers/vllm#rerank-endpoint)                 |  
+| DeepInfra|   [Usage](../docs/providers/deepinfra#rerank-endpoint)                 |