diff --git a/lib/gpt_providers/text_generation/deepseek_text_gen.py b/lib/gpt_providers/text_generation/deepseek_text_gen.py
index f453a1fc..f4ed112d 100644
--- a/lib/gpt_providers/text_generation/deepseek_text_gen.py
+++ b/lib/gpt_providers/text_generation/deepseek_text_gen.py
@@ -1,16 +1,70 @@
-# Please install OpenAI SDK first: `pip3 install openai`
-
-from openai import OpenAI
-
-client = OpenAI(api_key="<DeepSeek API Key>", base_url="https://api.deepseek.com")
-
-response = client.chat.completions.create(
-    model="deepseek-chat",
-    messages=[
-        {"role": "system", "content": "You are a helpful assistant"},
-        {"role": "user", "content": "Hello"},
-    ],
-    stream=False
+import os
+import time
+from deepseek import DeepSeek
+import logging
+from tenacity import (
+    retry,
+    stop_after_attempt,
+    wait_random_exponential,
 )
 
-print(response.choices[0].message.content)
+# Configure standard logging
+logging.basicConfig(level=logging.INFO, format='[%(asctime)s-%(levelname)s-%(module)s-%(lineno)d]- %(message)s')
+logger = logging.getLogger(__name__)
+
+@retry(wait=wait_random_exponential(min=1, max=60), stop=stop_after_attempt(6))
+def deepseek_text_response(prompt, model, temperature, max_tokens, top_p, n, system_prompt):
+    """
+    Wrapper function for DeepSeek's text generation.
+
+    Args:
+        prompt (str): The input text to generate completion for.
+        model (str, optional): Model to be used for the completion. Defaults to "deepseek-chat".
+        temperature (float, optional): Controls randomness. Lower values make responses more deterministic. Defaults to 0.2.
+        max_tokens (int, optional): Maximum number of tokens to generate. Defaults to 4096.
+        top_p (float, optional): Controls diversity. Defaults to 0.9.
+        n (int, optional): Number of completions to generate. Defaults to 1.
+
+    Returns:
+        str: The generated text completion.
+
+    Raises:
+        SystemExit: If an API error, connection error, or rate limit error occurs.
+    """
+    # Wait for 10 seconds to comply with rate limits
+    for _ in range(10):
+        time.sleep(1)
+
+    try:
+        client = DeepSeek(api_key=os.getenv('DEEPSEEK_API_KEY'), base_url="https://api.deepseek.com")
+        response = client.reasoning.create(
+            model=model,
+            context=system_prompt,
+            query=prompt,
+            max_tokens=max_tokens,
+            n=n,
+            top_p=top_p,
+            stream=True,
+            temperature=temperature
+        )
+
+        # Create variables to collect the stream of chunks
+        collected_chunks = []
+        collected_messages = []
+        full_reply_content = None
+
+        # Iterate through the stream of events
+        for chunk in response:
+            collected_chunks.append(chunk)  # save the event response
+            chunk_message = chunk.result  # extract the message
+            collected_messages.append(chunk_message)  # save the message
+            print(chunk.result, end="", flush=True)
+
+        # Clean None in collected_messages
+        collected_messages = [m for m in collected_messages if m is not None]
+        full_reply_content = ''.join([m for m in collected_messages])
+        return full_reply_content
+
+    except Exception as err:
+        logger.error(f"DeepSeek error: {err}")
+        raise SystemExit from err