From df156f672bfd2b30ba998a040f2171a3bd2ce700 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Thu, 28 Sep 2023 13:17:20 -0700
Subject: [PATCH] update docs

---
 docs/my-website/docs/proxy_server.md | 103 ++-------------------------
 1 file changed, 4 insertions(+), 99 deletions(-)

diff --git a/docs/my-website/docs/proxy_server.md b/docs/my-website/docs/proxy_server.md
index a962a70f94..8246821af7 100644
--- a/docs/my-website/docs/proxy_server.md
+++ b/docs/my-website/docs/proxy_server.md
@@ -115,110 +115,15 @@ Pass in the api_base as well
 litellm --model huggingface/meta-llama/llama2 --api_base https://my-endpoint.huggingface.cloud
 ```
 
+Other examples
 <Tabs>
-<TabItem value="openai" label="OpenAI">
+<TabItem value="ollama_2" label="Ollama">
 
-```python
-from litellm import completion
-import os
-
-## set ENV variables
-os.environ["OPENAI_API_KEY"] = "sk-litellm-7_NPZhMGxY2GoHC59LgbDw" # [OPTIONAL] replace with your openai key
-
-response = completion(
-  model="gpt-3.5-turbo", 
-  messages=[{ "content": "Hello, how are you?","role": "user"}]
-)
+```shell
+$ litellm --model ollama/llama2 --api_base http://localhost:11434
 ```
 
-</TabItem>
-<TabItem value="anthropic" label="Anthropic">
 
-```python
-from litellm import completion
-import os
-
-## set ENV variables
-os.environ["ANTHROPIC_API_KEY"] = "sk-litellm-7_NPZhMGxY2GoHC59LgbDw" # [OPTIONAL] replace with your openai key
-
-response = completion(
-  model="claude-2", 
-  messages=[{ "content": "Hello, how are you?","role": "user"}]
-)
-```
-
-</TabItem>
-
-<TabItem value="vertex" label="VertexAI">
-
-```python
-from litellm import completion
-import os
-
-# auth: run 'gcloud auth application-default'
-os.environ["VERTEX_PROJECT"] = "hardy-device-386718"
-os.environ["VERTEX_LOCATION"] = "us-central1"
-
-response = completion(
-  model="chat-bison", 
-  messages=[{ "content": "Hello, how are you?","role": "user"}]
-)
-```
-
-</TabItem>
-
-<TabItem value="hugging" label="HuggingFace">
-
-```python
-from litellm import completion 
-import os
-
-os.environ["HUGGINGFACE_API_KEY"] = "huggingface_api_key" 
-
-# e.g. Call 'WizardLM/WizardCoder-Python-34B-V1.0' hosted on HF Inference endpoints
-response = completion(
-  model="huggingface/WizardLM/WizardCoder-Python-34B-V1.0",
-  messages=[{ "content": "Hello, how are you?","role": "user"}], 
-  api_base="https://my-endpoint.huggingface.cloud"
-)
-
-print(response)
-```
-
-</TabItem>
-
-<TabItem value="azure" label="Azure OpenAI">
-
-```python
-from litellm import completion
-import os
-
-## set ENV variables
-os.environ["AZURE_API_KEY"] = ""
-os.environ["AZURE_API_BASE"] = ""
-os.environ["AZURE_API_VERSION"] = ""
-
-# azure call
-response = completion(
-  "azure/<your_deployment_id>", 
-  messages = [{ "content": "Hello, how are you?","role": "user"}]
-)
-```
-
-</TabItem>
-
-
-<TabItem value="ollama" label="Ollama">
-
-```python
-from litellm import completion
-
-response = completion(
-            model="ollama/llama2", 
-            messages = [{ "content": "Hello, how are you?","role": "user"}], 
-            api_base="http://localhost:11434"
-)
-```
 </TabItem>
 
 </Tabs>