docs on custom tags with langfuse

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

@@ -336,6 +336,108 @@ print(response)
 </TabItem>
 </Tabs>
 
+### Custom Tags
+
+Set `tags` as part of your request body
+
+
+<Tabs>
+
+
+<TabItem value="openai" label="OpenAI Python v1.0.0+">
+
+```python
+import openai
+client = openai.OpenAI(
+    api_key="sk-1234",
+    base_url="http://0.0.0.0:4000"
+)
+
+response = client.chat.completions.create(
+    model="llama3",
+    messages = [
+        {
+            "role": "user",
+            "content": "this is a test request, write a short poem"
+        }
+    ],
+    user="palantir",
+    extra_body={
+        "metadata": {
+            "tags": ["jobID:214590dsff09fds", "taskName:run_page_classification"]
+        }
+    }
+)
+
+print(response)
+```
+</TabItem>
+
+<TabItem value="Curl" label="Curl Request">
+
+Pass `metadata` as part of the request body
+
+```shell
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+    --header 'Content-Type: application/json' \
+    --header 'Authorization: Bearer sk-1234' \
+    --data '{
+    "model": "llama3",
+    "messages": [
+        {
+        "role": "user",
+        "content": "what llm are you"
+        }
+    ],
+    "user": "palantir",
+    "metadata": {
+        "tags": ["jobID:214590dsff09fds", "taskName:run_page_classification"]
+    }
+}'
+```
+</TabItem>
+<TabItem value="langchain" label="Langchain">
+
+```python
+from langchain.chat_models import ChatOpenAI
+from langchain.prompts.chat import (
+    ChatPromptTemplate,
+    HumanMessagePromptTemplate,
+    SystemMessagePromptTemplate,
+)
+from langchain.schema import HumanMessage, SystemMessage
+import os
+
+os.environ["OPENAI_API_KEY"] = "sk-1234"
+
+chat = ChatOpenAI(
+    openai_api_base="http://0.0.0.0:4000",
+    model = "llama3",
+    user="palantir",
+    extra_body={
+        "metadata": {
+            "tags": ["jobID:214590dsff09fds", "taskName:run_page_classification"]
+        }
+    }
+)
+
+messages = [
+    SystemMessage(
+        content="You are a helpful assistant that im using to make a test request to."
+    ),
+    HumanMessage(
+        content="test from litellm. tell me why it's amazing in 1 sentence"
+    ),
+]
+response = chat(messages)
+
+print(response)
+```
+
+</TabItem>
+</Tabs>
+
+
 
 ### LiteLLM Tags - `cache_hit`, `cache_key`