From 9b925c7e47a5a2dc0eead5ba4d3122a85d2af08f Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Wed, 5 Nov 2025 08:23:28 -0800
Subject: [PATCH] docs: remove old doc

causing search issues
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 docs/my-website/docs/providers/custom.md | 69 ------------------------
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 delete mode 100644 docs/my-website/docs/providers/custom.md

diff --git a/docs/my-website/docs/providers/custom.md b/docs/my-website/docs/providers/custom.md
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-# Custom LLM API-Endpoints
-LiteLLM supports Custom deploy api endpoints
-
-LiteLLM Expects the following input and output for custom LLM API endpoints
-
-### Model Details
-
-For calls to your custom API base ensure:
-* Set `api_base="your-api-base"`
-* Add `custom/` as a prefix to the `model` param. If your API expects `meta-llama/Llama-2-13b-hf` set `model=custom/meta-llama/Llama-2-13b-hf`
-
-| Model Name       | Function Call                              |
-|------------------|--------------------------------------------|
-| meta-llama/Llama-2-13b-hf  | `response = completion(model="custom/meta-llama/Llama-2-13b-hf", messages=messages, api_base="https://your-custom-inference-endpoint")` |
-| meta-llama/Llama-2-13b-hf  | `response = completion(model="custom/meta-llama/Llama-2-13b-hf", messages=messages, api_base="https://api.autoai.dev/inference")` |
-
-### Example Call to Custom LLM API using LiteLLM
-```python
-from litellm import completion
-response = completion(
-    model="custom/meta-llama/Llama-2-13b-hf", 
-    messages= [{"content": "what is custom llama?", "role": "user"}],
-    temperature=0.2,
-    max_tokens=10,
-    api_base="https://api.autoai.dev/inference",
-    request_timeout=300,
-)
-print("got response\n", response)
-```
-
-#### Setting your Custom API endpoint
-
-Inputs to your custom LLM api bases should follow this format:
-
-```python
-resp = requests.post(
-    your-api_base, 
-    json={
-        'model': 'meta-llama/Llama-2-13b-hf', # model name
-        'params': {
-            'prompt': ["The capital of France is P"],
-            'max_tokens': 32,
-            'temperature': 0.7,
-            'top_p': 1.0,
-            'top_k': 40,
-        }
-    }
-)
-```
-
-Outputs from your custom LLM api bases should follow this format:   
-```python
-{
-    'data': [
-        {
-            'prompt': 'The capital of France is P',
-            'output': [
-                'The capital of France is PARIS.\nThe capital of France is PARIS.\nThe capital of France is PARIS.\nThe capital of France is PARIS.\nThe capital of France is PARIS.\nThe capital of France is PARIS.\nThe capital of France is PARIS.\nThe capital of France is PARIS.\nThe capital of France is PARIS.\nThe capital of France is PARIS.\nThe capital of France is PARIS.\nThe capital of France is PARIS.\nThe capital of France is PARIS.\nThe capital of France'
-            ],
-            'params': {
-                'temperature': 0.7, 
-                'top_k': 40, 
-                'top_p': 1
-            }
-        }
-        ],
-    'message': 'ok'
-}
-```
\ No newline at end of file