summary

matrix_pygmalion_bot/bot/ai/langchain.py

@@ -143,7 +143,7 @@ class AI(object):
         if len(conversation_memory.chat_memory.messages) > max_k*2:
 
             async def make_progressive_summary(previous_summary, chat_history_text_string):
-                asyncio.sleep(0) # yield for matrix-nio
+                await asyncio.sleep(0) # yield for matrix-nio
                 #self.rooms[message.room_id]["summary"] = summary_memory.predict_new_summary(conversation_memory.chat_memory.messages, previous_summary).strip()
                 summary_chain = LLMChain(llm=self.llm_summary, prompt=prompt_progressive_summary)
                 self.rooms[message.room_id]["summary"] = await summary_chain.apredict(summary=previous_summary, chat_history=chat_history_text_string)
@@ -156,7 +156,7 @@ class AI(object):
                 #return summary
 
             logger.info("memory progressive summary scheduled...")
-            await self.bot.schedule(self.bot.queue, make_progressive_summary, self.rooms[message.room_id]["summary"], conversation_memory.buffer)
+            await self.bot.schedule(self.bot.queue, make_progressive_summary, self.rooms[message.room_id]["summary"], conversation_memory.buffer) #.add_done_callback(
 
 
 
@@ -191,7 +191,7 @@ class AI(object):
 
         #roleplay_chain = RoleplayChain(llm_chain=chain, character_name=self.bot.name, persona=self.bot.persona, scenario=self.bot.scenario, ai_name_chat=chat_ai_name, human_name_chat=chat_human_name)
 
-        stop = ['<|endoftext|>', f"\n{chat_human_name}:"]
+        stop = ['<|endoftext|>', f"\n{chat_human_name}"]
         #print(f"Message is: \"{message.message}\"")
         output = await chain.arun({"input":message.message, "stop": stop})
         output = output.replace("<BOT>", self.bot.name).replace("<USER>", message.user_name)

matrix_pygmalion_bot/bot/ai/prompts.py

@@ -114,7 +114,7 @@ prompt_progressive_summary  = PromptTemplate.from_template(
 """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
 
 ### Instruction:
-Based on the provided summary and new lines of conversation, give a brief and refined final summary. Only include relevant facts and key takeaways. Skip mundane details of prior events in the final and refined summary.
+Based on the provided summary and new lines of conversation, give a brief and refined final summary. Include relevant facts and key takeaways. Skip mundane details of prior events in the final and refined summary.
 
 ### Input:
 Current summary:

matrix_pygmalion_bot/main.py

@@ -64,13 +64,13 @@ async def main() -> None:
         if sys.version_info[0] == 3 and sys.version_info[1] < 11:
             tasks = []
             for bot in bots:
-                task = asyncio.create_task(bot.connection.sync_forever(timeout=30000, full_state=True))
+                task = asyncio.create_task(bot.connection.sync_forever(timeout=180000, full_state=True)) # 30000
                 tasks.append(task)
             await asyncio.gather(*tasks)
         else:
             async with asyncio.TaskGroup() as tg:
                 for bot in bots:
-                    task = tg.create_task(bot.connection.sync_forever(timeout=30000, full_state=True))
+                    task = tg.create_task(bot.connection.sync_forever(timeout=180000, full_state=True)) # 30000
 
     except Exception:
         print(traceback.format_exc())