organize docs

docs/my-website/docs/proxy/custom_pricing.md

@@ -1,6 +1,6 @@
 import Image from '@theme/IdealImage';
 
-# Custom Pricing - Sagemaker, etc. 
+# Custom LLM Pricing - Sagemaker, Azure, etc
 
 Use this to register custom pricing for models. 
 
@@ -16,39 +16,9 @@ LiteLLM already has pricing for any model in our [model cost map](https://github
 
 :::
 
-## Quick Start 
+## Cost Per Second (e.g. Sagemaker)
 
-Register custom pricing for sagemaker completion model. 
-
-For cost per second pricing, you **just** need to register `input_cost_per_second`. 
-
-```python
-# !pip install boto3 
-from litellm import completion, completion_cost 
-
-os.environ["AWS_ACCESS_KEY_ID"] = ""
-os.environ["AWS_SECRET_ACCESS_KEY"] = ""
-os.environ["AWS_REGION_NAME"] = ""
-
-
-def test_completion_sagemaker():
-    try:
-        print("testing sagemaker")
-        response = completion(
-            model="sagemaker/berri-benchmarking-Llama-2-70b-chat-hf-4",
-            messages=[{"role": "user", "content": "Hey, how's it going?"}],
-            input_cost_per_second=0.000420,
-        )
-        # Add any assertions here to check the response
-        print(response)
-        cost = completion_cost(completion_response=response)
-        print(cost)
-    except Exception as e:
-        raise Exception(f"Error occurred: {e}")
-
-```
-
-### Usage with OpenAI Proxy Server
+### Usage with LiteLLM Proxy Server
 
 **Step 1: Add pricing to config.yaml**
 ```yaml
@@ -75,38 +45,7 @@ litellm /path/to/config.yaml
 
 ## Cost Per Token (e.g. Azure)
 
-
-```python
-# !pip install boto3 
-from litellm import completion, completion_cost 
-
-## set ENV variables
-os.environ["AZURE_API_KEY"] = ""
-os.environ["AZURE_API_BASE"] = ""
-os.environ["AZURE_API_VERSION"] = ""
-
-
-def test_completion_azure_model():
-    try:
-        print("testing azure custom pricing")
-        # azure call
-        response = completion(
-          model = "azure/<your_deployment_name>", 
-          messages = [{ "content": "Hello, how are you?","role": "user"}]
-          input_cost_per_token=0.005,
-          output_cost_per_token=1,
-        )
-        # Add any assertions here to check the response
-        print(response)
-        cost = completion_cost(completion_response=response)
-        print(cost)
-    except Exception as e:
-        raise Exception(f"Error occurred: {e}")
-
-test_completion_azure_model()
-```
-
-### Usage with OpenAI Proxy Server
+### Usage with LiteLLM Proxy Server
 
 ```yaml
 model_list:

docs/my-website/docs/sdk_custom_pricing.md

@@ -0,0 +1,65 @@
+# Custom Pricing - SageMaker, Azure, etc
+
+Register custom pricing for sagemaker completion model. 
+
+For cost per second pricing, you **just** need to register `input_cost_per_second`. 
+
+```python
+# !pip install boto3 
+from litellm import completion, completion_cost 
+
+os.environ["AWS_ACCESS_KEY_ID"] = ""
+os.environ["AWS_SECRET_ACCESS_KEY"] = ""
+os.environ["AWS_REGION_NAME"] = ""
+
+
+def test_completion_sagemaker():
+    try:
+        print("testing sagemaker")
+        response = completion(
+            model="sagemaker/berri-benchmarking-Llama-2-70b-chat-hf-4",
+            messages=[{"role": "user", "content": "Hey, how's it going?"}],
+            input_cost_per_second=0.000420,
+        )
+        # Add any assertions here to check the response
+        print(response)
+        cost = completion_cost(completion_response=response)
+        print(cost)
+    except Exception as e:
+        raise Exception(f"Error occurred: {e}")
+
+```
+
+
+## Cost Per Token (e.g. Azure)
+
+
+```python
+# !pip install boto3 
+from litellm import completion, completion_cost 
+
+## set ENV variables
+os.environ["AZURE_API_KEY"] = ""
+os.environ["AZURE_API_BASE"] = ""
+os.environ["AZURE_API_VERSION"] = ""
+
+
+def test_completion_azure_model():
+    try:
+        print("testing azure custom pricing")
+        # azure call
+        response = completion(
+          model = "azure/<your_deployment_name>", 
+          messages = [{ "content": "Hello, how are you?","role": "user"}]
+          input_cost_per_token=0.005,
+          output_cost_per_token=1,
+        )
+        # Add any assertions here to check the response
+        print(response)
+        cost = completion_cost(completion_response=response)
+        print(cost)
+    except Exception as e:
+        raise Exception(f"Error occurred: {e}")
+
+test_completion_azure_model()
+```

docs/my-website/sidebars.js

@@ -42,6 +42,7 @@ const sidebars = {
         "proxy/configs",
         "proxy/reliability",
         "proxy/cost_tracking",
+        "proxy/custom_pricing",
         "proxy/self_serve",
         "proxy/virtual_keys",
         {
@@ -183,7 +184,6 @@ const sidebars = {
         "anthropic_completion"
       ],
     },
-    "proxy/custom_pricing",
     {
       type: "category", 
       label: "Secret Manager", 
@@ -199,6 +199,8 @@ const sidebars = {
         "routing",
         "scheduler",
         "set_keys",
+        "completion/token_usage",
+        "sdk_custom_pricing",
         "budget_manager",
         "caching/all_caches",
         {
@@ -208,7 +210,6 @@ const sidebars = {
         },
       ],
     },
-    "completion/token_usage",
     "load_test",
     {
       type: "category",