diff --git a/src/khoj/processor/conversation/openai/utils.py b/src/khoj/processor/conversation/openai/utils.py
index fc3ebd90..50678139 100644
--- a/src/khoj/processor/conversation/openai/utils.py
+++ b/src/khoj/processor/conversation/openai/utils.py
@@ -527,7 +527,19 @@ async def adefault_stream_processor(
     Async generator to cast and return chunks from the standard openai chat completions stream.
     """
     async for chunk in chat_stream:
-        yield ChatCompletionWithThoughtsChunk.model_validate(chunk.model_dump())
+        try:
+            # Validate the chunk has the required fields before processing
+            chunk_data = chunk.model_dump()
+
+            # Skip chunks that don't have the required object field or have invalid values
+            if not chunk_data.get("object") or chunk_data.get("object") != "chat.completion.chunk":
+                logger.warning(f"Skipping invalid chunk with object field: {chunk_data.get('object', 'missing')}")
+                continue
+
+            yield ChatCompletionWithThoughtsChunk.model_validate(chunk_data)
+        except Exception as e:
+            logger.warning(f"Error processing chunk: {e}. Skipping malformed chunk.")
+            continue
 
 
 async def adeepseek_stream_processor(
@@ -537,14 +549,26 @@ async def adeepseek_stream_processor(
     Async generator to cast and return chunks from the deepseek chat completions stream.
     """
     async for chunk in chat_stream:
-        tchunk = ChatCompletionWithThoughtsChunk.model_validate(chunk.model_dump())
-        if (
-            len(tchunk.choices) > 0
-            and hasattr(tchunk.choices[0].delta, "reasoning_content")
-            and tchunk.choices[0].delta.reasoning_content
-        ):
-            tchunk.choices[0].delta.thought = chunk.choices[0].delta.reasoning_content
-        yield tchunk
+        try:
+            # Validate the chunk has the required fields before processing
+            chunk_data = chunk.model_dump()
+
+            # Skip chunks that don't have the required object field or have invalid values
+            if not chunk_data.get("object") or chunk_data.get("object") != "chat.completion.chunk":
+                logger.warning(f"Skipping invalid chunk with object field: {chunk_data.get('object', 'missing')}")
+                continue
+
+            tchunk = ChatCompletionWithThoughtsChunk.model_validate(chunk_data)
+            if (
+                len(tchunk.choices) > 0
+                and hasattr(tchunk.choices[0].delta, "reasoning_content")
+                and tchunk.choices[0].delta.reasoning_content
+            ):
+                tchunk.choices[0].delta.thought = chunk.choices[0].delta.reasoning_content
+            yield tchunk
+        except Exception as e:
+            logger.warning(f"Error processing chunk: {e}. Skipping malformed chunk.")
+            continue
 
 
 def in_stream_thought_processor(