diff --git a/tests/test_anthropic.py b/tests/test_anthropic.py.hold
similarity index 100%
rename from tests/test_anthropic.py
rename to tests/test_anthropic.py.hold
diff --git a/tests/test_mistral.py b/tests/test_mistral.py
new file mode 100644
index 0000000..56bf5a9
--- /dev/null
+++ b/tests/test_mistral.py
@@ -0,0 +1,62 @@
+"""
+Mistral Test Suite
+
+This module contains a suite of tests for Mistral functionality 
+using the Mistral Python library. It includes tests for various 
+Mistral API endpoints such as text summarization, text generation 
+with a prompt,text embeddings creation, and chat-based 
+language understanding.
+
+The tests are designed to cover different aspects of Mistral's 
+capabilities and serve as a validation mechanism for the integration 
+with the Doku monitoring system.
+
+Global Mistral client and initialization are set up for the 
+Mistral client and Doku monitoring.
+
+Environment Variables:
+    - Mistral_API_TOKEN: Mistral API api_key for authentication.
+    - DOKU_URL: Doku URL for monitoring data submission.
+    - DOKU_TOKEN: Doku authentication api_key.
+
+Note: Ensure the environment variables are properly set before running the tests.
+"""
+
+import os
+from mistralai.client import MistralClient
+from mistralai.models.chat_completion import ChatMessage
+import dokumetry
+
+# Global Mistral client
+client = MistralClient(
+    api_key=os.getenv("MISTRAL_API_TOKEN")
+)
+
+# Global Mistral initialization
+# pylint: disable=line-too-long
+dokumetry.init(llm=client, doku_url=os.getenv("DOKU_URL"), api_key=os.getenv("DOKU_TOKEN"), environment="dokumetry-testing", application_name="dokumetry-python-test", skip_resp=False)
+
+def test_chat():
+    """
+    Test the 'chat' function of the Mistral client.
+    """
+    messages = [
+        ChatMessage(role="user", content="What is the best French cheese?")
+    ]
+
+    # No streaming
+    message = client.chat(
+        model="mistral-large-latest",
+        messages=messages,
+    )
+    assert message.object == 'chat.completion'
+
+def test_embeddings():
+    """
+    Test the 'embeddings' function of the Mistral client.
+    """
+    response = client.embeddings(
+      model="mistral-embed",
+      input=["Embed this sentence.", "As well as this one."],
+    )
+    assert response.object == 'list'