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+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+# vLLM - Batch + Files API
+
+LiteLLM supports vLLM's Batch and Files API for processing large volumes of requests asynchronously.
+
+| Feature | Supported |
+|---------|-----------|
+| `/v1/files` | ✅ |
+| `/v1/batches` | ✅ |
+| Cost Tracking | ✅ |
+
+## Quick Start
+
+### 1. Setup config.yaml
+
+Define your vLLM model in `config.yaml`. LiteLLM uses the model name to route batch requests to the correct vLLM server.
+
+```yaml
+model_list:
+  - model_name: my-vllm-model
+    litellm_params:
+      model: hosted_vllm/meta-llama/Llama-2-7b-chat-hf
+      api_base: http://localhost:8000  # your vLLM server
+```
+
+### 2. Start LiteLLM Proxy
+
+```bash
+litellm --config /path/to/config.yaml
+```
+
+### 3. Create Batch File
+
+Create a JSONL file with your batch requests:
+
+```jsonl
+{"custom_id": "request-1", "method": "POST", "url": "/v1/chat/completions", "body": {"model": "my-vllm-model", "messages": [{"role": "user", "content": "Hello!"}]}}
+{"custom_id": "request-2", "method": "POST", "url": "/v1/chat/completions", "body": {"model": "my-vllm-model", "messages": [{"role": "user", "content": "How are you?"}]}}
+```
+
+### 4. Upload File & Create Batch
+
+:::tip Model Routing
+LiteLLM needs to know which model (and therefore which vLLM server) to use for batch operations. Specify the model using the `x-litellm-model` header when uploading files. LiteLLM will encode this model info into the file ID, so subsequent batch operations automatically route to the correct server.
+
+See [Multi-Account / Model-Based Routing](../batches#multi-account--model-based-routing) for more details.
+:::
+
+<Tabs>
+<TabItem value="curl" label="cURL">
+
+**Upload File**
+
+```bash
+curl http://localhost:4000/v1/files \
+  -H "Authorization: Bearer sk-1234" \
+  -H "x-litellm-model: my-vllm-model" \
+  -F purpose="batch" \
+  -F file="@batch_requests.jsonl"
+```
+
+**Create Batch**
+
+```bash
+curl http://localhost:4000/v1/batches \
+  -H "Authorization: Bearer sk-1234" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "input_file_id": "file-abc123",
+    "endpoint": "/v1/chat/completions",
+    "completion_window": "24h"
+  }'
+```
+
+**Check Batch Status**
+
+```bash
+curl http://localhost:4000/v1/batches/batch_abc123 \
+  -H "Authorization: Bearer sk-1234"
+```
+
+</TabItem>
+<TabItem value="python" label="Python SDK">
+
+```python
+import litellm
+import asyncio
+
+async def run_vllm_batch():
+    # Upload file
+    file_obj = await litellm.acreate_file(
+        file=open("batch_requests.jsonl", "rb"),
+        purpose="batch",
+        custom_llm_provider="hosted_vllm",
+    )
+    print(f"File uploaded: {file_obj.id}")
+
+    # Create batch
+    batch = await litellm.acreate_batch(
+        completion_window="24h",
+        endpoint="/v1/chat/completions",
+        input_file_id=file_obj.id,
+        custom_llm_provider="hosted_vllm",
+    )
+    print(f"Batch created: {batch.id}")
+
+    # Poll for completion
+    while True:
+        batch_status = await litellm.aretrieve_batch(
+            batch_id=batch.id,
+            custom_llm_provider="hosted_vllm",
+        )
+        print(f"Status: {batch_status.status}")
+        
+        if batch_status.status == "completed":
+            break
+        elif batch_status.status in ["failed", "cancelled"]:
+            raise Exception(f"Batch failed: {batch_status.status}")
+        
+        await asyncio.sleep(5)
+
+    # Get results
+    if batch_status.output_file_id:
+        results = await litellm.afile_content(
+            file_id=batch_status.output_file_id,
+            custom_llm_provider="hosted_vllm",
+        )
+        print(f"Results: {results}")
+
+asyncio.run(run_vllm_batch())
+```
+
+</TabItem>
+</Tabs>
+
+## Supported Operations
+
+| Operation | Endpoint | Method |
+|-----------|----------|--------|
+| Upload file | `/v1/files` | POST |
+| List files | `/v1/files` | GET |
+| Retrieve file | `/v1/files/{file_id}` | GET |
+| Delete file | `/v1/files/{file_id}` | DELETE |
+| Get file content | `/v1/files/{file_id}/content` | GET |
+| Create batch | `/v1/batches` | POST |
+| List batches | `/v1/batches` | GET |
+| Retrieve batch | `/v1/batches/{batch_id}` | GET |
+| Cancel batch | `/v1/batches/{batch_id}/cancel` | POST |
+
+## Environment Variables
+
+```bash
+# Set vLLM server endpoint
+export HOSTED_VLLM_API_BASE="http://localhost:8000"
+
+# Optional: API key if your vLLM server requires authentication
+export HOSTED_VLLM_API_KEY="your-api-key"
+```
+
+## How Model Routing Works
+
+When you upload a file with `x-litellm-model: my-vllm-model`, LiteLLM:
+
+1. Encodes the model name into the returned file ID
+2. Uses this encoded model info to automatically route subsequent batch operations to the correct vLLM server
+3. No need to specify the model again when creating batches or retrieving results
+
+This enables multi-tenant batch processing where different teams can use different vLLM deployments through the same LiteLLM proxy.
+
+**Learn more:** [Multi-Account / Model-Based Routing](../batches#multi-account--model-based-routing)
+
+## Related
+
+- [vLLM Provider Overview](./vllm)
+- [Batch API Overview](../batches)
+- [Files API](../files_endpoints)