Merge pull request #4897 from BerriAI/docs_add_example_using_anthropic_sdk

Docs add example using anthropic sdk with litellm proxy

README.md

@@ -166,6 +166,10 @@ $ litellm --model huggingface/bigcode/starcoder
 
 ### Step 2: Make ChatCompletions Request to Proxy
 
+
+> [!IMPORTANT]
+> [Use with Langchain (Python, JS), OpenAI SDK (Python, JS) Anthropic SDK, Mistral SDK, LlamaIndex, Instructor, Curl](https://docs.litellm.ai/docs/migration)  
+
 ```python
 import openai # openai v1.0.0+
 client = openai.OpenAI(api_key="anything",base_url="http://0.0.0.0:4000") # set proxy to base_url

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

@@ -254,6 +254,15 @@ Your OpenAI proxy server is now running on `http://127.0.0.1:4000`.
 
 **That's it ! That's the quick start to deploy litellm**
 
+## Use with Langchain, OpenAI SDK, LlamaIndex, Instructor, Curl
+
+:::info
+💡 Go here 👉 [to make your first LLM API Request](user_keys)
+
+LiteLLM is compatible with several SDKs - including OpenAI SDK, Anthropic SDK, Mistral SDK, LLamaIndex, Langchain (Js, Python)
+
+:::
+
 ## Options to deploy LiteLLM 
 
 | Docs | When to Use |

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

@@ -388,6 +388,34 @@ print(response)
 
 ```
 </TabItem>
+
+<TabItem value="anthropic-py" label="Anthropic Python SDK">
+
+```python
+import os
+
+from anthropic import Anthropic
+
+client = Anthropic(
+    base_url="http://localhost:4000", # proxy endpoint
+    api_key="sk-s4xN1IiLTCytwtZFJaYQrA", # litellm proxy virtual key
+)
+
+message = client.messages.create(
+    max_tokens=1024,
+    messages=[
+        {
+            "role": "user",
+            "content": "Hello, Claude",
+        }
+    ],
+    model="claude-3-opus-20240229",
+)
+print(message.content)
+```
+
+</TabItem>
+
 </Tabs>
 
 [**More Info**](./configs.md)

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

@@ -234,6 +234,34 @@ main();
 ```
 
 </TabItem>
+
+<TabItem value="anthropic-py" label="Anthropic Python SDK">
+
+```python
+import os
+
+from anthropic import Anthropic
+
+client = Anthropic(
+    base_url="http://localhost:4000", # proxy endpoint
+    api_key="sk-s4xN1IiLTCytwtZFJaYQrA", # litellm proxy virtual key
+)
+
+message = client.messages.create(
+    max_tokens=1024,
+    messages=[
+        {
+            "role": "user",
+            "content": "Hello, Claude",
+        }
+    ],
+    model="claude-3-opus-20240229",
+)
+print(message.content)
+```
+
+</TabItem>
+
 <TabItem value="mistral-py" label="Mistral Python SDK">
 
 ```python