\Update chat completions examples with OpenAI SDK

- Remove OpenAI SDK compatibility section from API reference
- Add OpenAI SDK examples (JavaScript and Python) to chat completions section
- Keep cURL example alongside SDK examples\

Author: tpayet

reference/api/chats.mdx

@@ -126,37 +126,44 @@ curl \
   }'
 ```
 
-```javascript JavaScript
-const response = await fetch('http://localhost:7700/chats/customer-support/chat/completions', {
-  method: 'POST',
-  headers: {
-    'Authorization': 'Bearer DEFAULT_CHAT_KEY',
-    'Content-Type': 'application/json'
-  },
-  body: JSON.stringify({
-    model: 'gpt-3.5-turbo',
-    messages: [
-      {
-        role: 'user',
-        content: 'What is Meilisearch?'
-      }
-    ],
-    stream: true
-  })
+```javascript "OpenAI SDK"
+import OpenAI from 'openai';
+
+const client = new OpenAI({
+  baseURL: 'http://localhost:7700/chats/customer-support',
+  apiKey: 'DEFAULT_CHAT_KEY',
 });
 
-const reader = response.body.getReader();
-const decoder = new TextDecoder();
+const stream = await client.chat.completions.create({
+  model: 'gpt-3.5-turbo',
+  messages: [{ role: 'user', content: 'What is Meilisearch?' }],
+  stream: true,
+});
 
-while (true) {
-  const { done, value } = await reader.read();
-  if (done) break;
-  
-  const chunk = decoder.decode(value);
-  console.log(chunk);
+for await (const chunk of stream) {
+  console.log(chunk.choices[0]?.delta?.content || '');
 }
 ```
 
+```python "OpenAI SDK"
+from openai import OpenAI
+
+client = OpenAI(
+    base_url="http://localhost:7700/chats/customer-support",
+    api_key="DEFAULT_CHAT_KEY"
+)
+
+stream = client.chat.completions.create(
+    model="gpt-3.5-turbo",
+    messages=[{"role": "user", "content": "What is Meilisearch?"}],
+    stream=True,
+)
+
+for chunk in stream:
+    if chunk.choices[0].delta.content is not None:
+        print(chunk.choices[0].delta.content, end="")
+```
+
 </CodeGroup>
 
 ## Update chat settings
@@ -378,27 +385,4 @@ These tools are handled internally and are not directly accessible through the A
 - Only streaming responses are currently supported
 - Conversation history must be managed client-side
 - Token limits depend on the chosen LLM provider
-- No built-in conversation persistence
-
-## OpenAI SDK compatibility
-
-The chat completions endpoint is compatible with the OpenAI SDK:
-
-```javascript
-import OpenAI from 'openai';
-
-const client = new OpenAI({
-  baseURL: 'http://localhost:7700/chats/customer-support',
-  apiKey: 'YOUR_MEILISEARCH_API_KEY',
-});
-
-const completion = await client.chat.completions.create({
-  model: 'gpt-3.5-turbo',
-  messages: [{ role: 'user', content: 'What is Meilisearch?' }],
-  stream: true,
-});
-
-for await (const chunk of completion) {
-  console.log(chunk.choices[0]?.delta?.content || '');
-}
-```
+- No built-in conversation persistence