diff --git a/docs/my-website/docs/providers/codestral.md b/docs/my-website/docs/providers/codestral.md
index a401d4f05..bfe015c4e 100644
--- a/docs/my-website/docs/providers/codestral.md
+++ b/docs/my-website/docs/providers/codestral.md
@@ -124,4 +124,132 @@ All models listed here https://docs.mistral.ai/platform/endpoints are supported.
 | Model Name     | Function Call                                                |
 |----------------|--------------------------------------------------------------|
 | Codestral Latest  | `completion(model="text-completion-codestral/codestral-latest", messages)` |
-| Codestral 2405 | `completion(model="text-completion-codestral/codestral-2405", messages)`|
\ No newline at end of file
+| Codestral 2405 | `completion(model="text-completion-codestral/codestral-2405", messages)`|
+
+
+
+
+## Chat Completions
+
+:::info
+
+Official Mistral API Docs: https://docs.mistral.ai/api/#operation/createChatCompletion
+:::
+
+
+<Tabs>
+<TabItem value="no-streaming" label="No Streaming">
+
+### Sample Usage
+
+```python
+import os
+import litellm
+
+os.environ['CODESTRAL_API_KEY']
+
+response = await litellm.acompletion(
+    model="codestral/codestral-latest",
+    messages=[
+        {
+            "role": "user",
+            "content": "Hey, how's it going?",
+        }
+    ],
+    temperature=0.0,       # optional
+    top_p=1,               # optional
+    max_tokens=10,         # optional
+    safe_prompt=False,     # optional
+    seed=12,               # optional
+)
+```
+
+#### Expected Response
+
+```json
+{
+  "id": "chatcmpl-123",
+  "object": "chat.completion",
+  "created": 1677652288,
+  "model": "codestral/codestral-latest",
+  "system_fingerprint": None,
+  "choices": [{
+    "index": 0,
+    "message": {
+      "role": "assistant",
+      "content": "\n\nHello there, how may I assist you today?",
+    },
+    "logprobs": null,
+    "finish_reason": "stop"
+  }],
+  "usage": {
+    "prompt_tokens": 9,
+    "completion_tokens": 12,
+    "total_tokens": 21
+  }
+}
+
+
+```
+
+
+</TabItem>
+<TabItem value="stream" label="Streaming">
+
+### Sample Usage - Streaming
+
+```python
+import os
+import litellm
+
+os.environ['CODESTRAL_API_KEY']
+
+response = await litellm.acompletion(
+    model="codestral/codestral-latest",
+    messages=[
+        {
+            "role": "user",
+            "content": "Hey, how's it going?",
+        }
+    ],
+    stream=True,           # optional
+    temperature=0.0,       # optional
+    top_p=1,               # optional
+    max_tokens=10,         # optional
+    safe_prompt=False,     # optional
+    seed=12,               # optional
+)
+async for chunk in response:
+    print(chunk)
+```
+
+#### Expected Response
+
+```json
+{
+    "id":"chatcmpl-123",
+    "object":"chat.completion.chunk",
+    "created":1694268190,
+    "model": "codestral/codestral-latest",
+    "system_fingerprint": None, 
+    "choices":[
+        {
+            "index":0,
+            "delta":{"role":"assistant","content":"gm"},
+            "logprobs":null,
+        "   finish_reason":null
+        }
+    ]
+}
+
+```
+</TabItem>
+</Tabs>
+
+### Supported Models
+All models listed here https://docs.mistral.ai/platform/endpoints are supported. We actively maintain the list of models, pricing, token window, etc. [here](https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json).
+
+| Model Name     | Function Call                                                |
+|----------------|--------------------------------------------------------------|
+| Codestral Latest  | `completion(model="codestral/codestral-latest", messages)` |
+| Codestral 2405 | `completion(model="codestral/codestral-2405", messages)`|
\ No newline at end of file
diff --git a/litellm/tests/test_completion.py b/litellm/tests/test_completion.py
index 250a4a7b6..0e1b4a9f4 100644
--- a/litellm/tests/test_completion.py
+++ b/litellm/tests/test_completion.py
@@ -823,13 +823,17 @@ async def test_completion_codestral_chat_api():
         litellm.set_verbose = True
         response = await litellm.acompletion(
             model="codestral/codestral-latest",
-            max_tokens=5,
             messages=[
                 {
                     "role": "user",
                     "content": "Hey, how's it going?",
                 }
             ],
+            temperature=0.0,
+            top_p=1,
+            max_tokens=10,
+            safe_prompt=False,
+            seed=12,
         )
         # Add any assertions here to-check the response
         print(response)