Keep search results passed to GPT as context in conversation logs

This will be useful to
1. Show source references used to arrive at answer
2. Carry out multi-turn conversations

src/khoj/processor/conversation/gpt.py

@@ -8,6 +8,7 @@ import openai
 
 # Internal Packages
 from khoj.utils.constants import empty_escape_sequences
+from khoj.utils.helpers import merge_dicts
 
 
 def answer(text, user_query, model, api_key=None, temperature=0.5, max_tokens=500):
@@ -192,7 +193,7 @@ def message_to_log(user_message, gpt_message, user_message_metadata={}, conversa
     current_dt = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
 
     # Create json log from Human's message
-    human_log = user_message_metadata or default_user_message_metadata
+    human_log = merge_dicts(user_message_metadata, default_user_message_metadata)
     human_log["message"] = user_message
     human_log["by"] = "you"
     human_log["created"] = current_dt

src/khoj/routers/api_beta.py

@@ -111,7 +111,7 @@ def chat(q: Optional[str] = None):
     # Update Conversation History
     state.processor_config.conversation.chat_session = message_to_prompt(q, chat_session, gpt_message=gpt_response)
     state.processor_config.conversation.meta_log["chat"] = message_to_log(
-        q, gpt_response, conversation_log=meta_log.get("chat", [])
+        q, gpt_response, user_message_metadata={"context": collated_result}, conversation_log=meta_log.get("chat", [])
     )
 
     return {"status": status, "response": gpt_response}