Gracefully close thread when there's an exception in the anthropic llm thread. Include full stack traces.

src/khoj/processor/conversation/anthropic/utils.py

@@ -89,26 +89,29 @@ def anthropic_chat_completion_with_backoff(
 def anthropic_llm_thread(
     g, messages, system_prompt, model_name, temperature, api_key, max_prompt_size=None, model_kwargs=None
 ):
-    if api_key not in anthropic_clients:
+    try:
-        client: anthropic.Anthropic = anthropic.Anthropic(api_key=api_key)
+        if api_key not in anthropic_clients:
-        anthropic_clients[api_key] = client
+            client: anthropic.Anthropic = anthropic.Anthropic(api_key=api_key)
-    else:
+            anthropic_clients[api_key] = client
-        client: anthropic.Anthropic = anthropic_clients[api_key]
+        else:
+            client: anthropic.Anthropic = anthropic_clients[api_key]
 
-    formatted_messages: List[anthropic.types.MessageParam] = [
+        formatted_messages: List[anthropic.types.MessageParam] = [
-        anthropic.types.MessageParam(role=message.role, content=message.content) for message in messages
+            anthropic.types.MessageParam(role=message.role, content=message.content) for message in messages
-    ]
+        ]
 
-    with client.messages.stream(
+        with client.messages.stream(
-        messages=formatted_messages,
+            messages=formatted_messages,
-        model=model_name,  # type: ignore
+            model=model_name,  # type: ignore
-        temperature=temperature,
+            temperature=temperature,
-        system=system_prompt,
+            system=system_prompt,
-        timeout=20,
+            timeout=20,
-        max_tokens=DEFAULT_MAX_TOKENS_ANTHROPIC,
+            max_tokens=DEFAULT_MAX_TOKENS_ANTHROPIC,
-        **(model_kwargs or dict()),
+            **(model_kwargs or dict()),
-    ) as stream:
+        ) as stream:
-        for text in stream.text_stream:
+            for text in stream.text_stream:
-            g.send(text)
+                g.send(text)
-
+    except Exception as e:
-    g.close()
+        logger.error(f"Error in anthropic_llm_thread: {e}", exc_info=True)
+    finally:
+        g.close()

src/khoj/processor/conversation/openai/utils.py

@@ -131,6 +131,6 @@ def llm_thread(g, messages, model_name, temperature, openai_api_key=None, api_ba
             elif delta_chunk.content:
                 g.send(delta_chunk.content)
     except Exception as e:
-        logger.error(f"Error in llm_thread: {e}")
+        logger.error(f"Error in llm_thread: {e}", exc_info=True)
     finally:
         g.close()