diff --git a/Dockerfile b/Dockerfile index c8bd4fd..395c24f 100644 --- a/Dockerfile +++ b/Dockerfile @@ -32,7 +32,7 @@ USER app COPY agent/ agent/ COPY common/ common/ -COPY bot/ bot/ +# COPY bot/ bot/ COPY api/ api/ # https://stackoverflow.com/questions/29663459/python-app-does-not-print-anything-when-running-detached-in-docker diff --git a/agent/cache.py b/agent/cache.py index a68c968..f02f55e 100644 --- a/agent/cache.py +++ b/agent/cache.py @@ -6,7 +6,7 @@ from .mediator import SupabaseMediator import uuid from typing import List, Tuple, Dict -from langchain.schema import BaseMessage +from langchain_core.messages import BaseMessage import sentry_sdk class Conversation: diff --git a/agent/chain.py b/agent/chain.py index 8d535f9..713ec6c 100644 --- a/agent/chain.py +++ b/agent/chain.py @@ -1,10 +1,11 @@ import os -from langchain.chat_models import ChatOpenAI, AzureChatOpenAI -from langchain.prompts import ( +from langchain_community.chat_models import ChatOpenAI, AzureChatOpenAI +from langchain_core.prompts import ( SystemMessagePromptTemplate, ) -from langchain.prompts import load_prompt, ChatPromptTemplate -from langchain.schema import AIMessage, HumanMessage, BaseMessage +from langchain_core.prompts import load_prompt, ChatPromptTemplate +from langchain_core.messages import AIMessage, HumanMessage, BaseMessage +from langchain_mistralai.chat_models import ChatMistralAI from openai import BadRequestError @@ -25,9 +26,11 @@ class BloomChain: "Wrapper class for encapsulating the multiple different chains used in reasoning for the tutor's thoughts" # llm: ChatOpenAI = ChatOpenAI(model_name = "gpt-4", temperature=1.2) - llm: AzureChatOpenAI | ChatOpenAI - if (os.environ.get("OPENAI_API_TYPE") == "azure"): + llm: AzureChatOpenAI | ChatOpenAI | ChatMistralAI + if (os.environ["LLM_API"] == "azure"): llm = AzureChatOpenAI(deployment_name = os.environ['OPENAI_API_DEPLOYMENT_NAME'], temperature=1.2, model_kwargs={"top_p": 0.5}) + if (os.environ['LLM_API'] == "mistral"): + llm = ChatMistralAI(model="mistral-medium", mistral_api_key=os.environ['MISTRAL_API_KEY'], temperature=1, top_p=0.5) else: llm = ChatOpenAI(model_name = "gpt-4", temperature=1.2, model_kwargs={"top_p": 0.5}) @@ -58,8 +61,8 @@ def think(cls, cache: Conversation, input: str): chain = thought_prompt | cls.llm def save_new_messages(ai_response): - cache.add_message("response", HumanMessage(content=input)) - cache.add_message("response", AIMessage(content=ai_response)) + cache.add_message("thought", HumanMessage(content=input)) + cache.add_message("thought", AIMessage(content=ai_response)) return Streamable(chain.astream({}, {"tags": ["thought"], "metadata": {"conversation_id": cache.conversation_id, "user_id": cache.user_id}}), save_new_messages) diff --git a/agent/mediator.py b/agent/mediator.py index dbd8813..b8e4b62 100644 --- a/agent/mediator.py +++ b/agent/mediator.py @@ -1,4 +1,4 @@ -from langchain.schema.messages import BaseMessage, _message_to_dict, messages_from_dict +from langchain_core.messages import BaseMessage, message_to_dict, messages_from_dict import uuid import os import sentry_sdk @@ -35,7 +35,7 @@ def add_message(self, session_id: str, user_id: str, message_type: str, message: "session_id": session_id, "user_id": user_id, "message_type": message_type, - "message": _message_to_dict(message) + "message": message_to_dict(message) } self.supabase.table(self.memory_table).insert(payload).execute() diff --git a/api/main.py b/api/main.py index d0395d7..9be8b8a 100644 --- a/api/main.py +++ b/api/main.py @@ -10,7 +10,7 @@ from fastapi.middleware.cors import CORSMiddleware # from fastapi.staticfiles import StaticFiles -from langchain.schema import _message_to_dict +from langchain_core.messages import message_to_dict import sentry_sdk import os @@ -20,12 +20,12 @@ load_dotenv() -rate = 0.2 if os.getenv("SENTRY_ENVIRONMENT") == "production" else 1.0 -sentry_sdk.init( - dsn=os.environ['SENTRY_DSN_API'], - traces_sample_rate=rate, - profiles_sample_rate=rate -) +# rate = 0.2 if os.getenv("SENTRY_ENVIRONMENT") == "production" else 1.0 +# sentry_sdk.init( +# dsn=os.environ['SENTRY_DSN_API'], +# traces_sample_rate=rate, +# profiles_sample_rate=rate +# ) app = FastAPI() @@ -102,7 +102,7 @@ async def update_conversations(change: ConversationDefinition): async def get_messages(user_id: str, conversation_id: str): async with LOCK: messages = MEDIATOR.messages(user_id=user_id, session_id=conversation_id, message_type="response", limit=(False, None)) - converted_messages = [_message_to_dict(_message) for _message in messages] + converted_messages = [message_to_dict(_message) for _message in messages] return { "messages": converted_messages } diff --git a/bot/__init__.py b/bot/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/bot/app.py b/bot/app.py deleted file mode 100644 index 6e2fa7b..0000000 --- a/bot/app.py +++ /dev/null @@ -1,31 +0,0 @@ -import discord -import sentry_sdk -import os - -from common import init -from dotenv import load_dotenv - -load_dotenv() - -rate = 0.2 if os.getenv("SENTRY_ENVIRONMENT") == "production" else 1.0 - -sentry_sdk.init( - dsn=os.getenv("SENTRY_DSN_DISCORD"), - traces_sample_rate=rate, - profiles_sample_rate=rate -) - -CACHE, LOCK, _, (THOUGHT_CHANNEL, TOKEN) = init() - -intents = discord.Intents.default() -intents.messages = True -intents.message_content = True -intents.members = True - -bot = discord.Bot(intents=intents) - - -bot.load_extension("bot.core") - - -bot.run(TOKEN) diff --git a/bot/core.py b/bot/core.py deleted file mode 100644 index a7d70da..0000000 --- a/bot/core.py +++ /dev/null @@ -1,180 +0,0 @@ -# core functionality - -import discord -import os -from __main__ import ( - CACHE, - LOCK, - THOUGHT_CHANNEL, -) -from discord.ext import commands -from typing import Optional -from agent.chain import BloomChain -from langchain.schema import AIMessage -import sentry_sdk - - -class Core(commands.Cog): - def __init__(self, bot) -> None: - self.bot = bot - - @commands.Cog.listener() - async def on_member_join(self, member): - with sentry_sdk.start_transaction(op="on_member_join", name="discord.on_member_join"): - welcome_message = """ - Hello! Thanks for joining the Bloom server. - - I’m your Aristotelian learning companion — here to help you follow your curiosity in whatever direction you like. My engineering makes me extremely receptive to your needs and interests. You can reply normally, and I’ll always respond! - - If I'm off track, just say so! If you'd like to reset our dialogue, use the /restart command. - - Need to leave or just done chatting? Let me know! I’m conversational by design so I’ll say goodbye 😊. - - If you have any further questions, use the /help command or feel free to post them in https://discord.com/channels/1076192451997474938/1092832830159065128 and someone from the Plastic Labs team will get back to you ASAP! - - Enjoy! - """ - await member.send(welcome_message) - - @commands.Cog.listener() - async def on_ready(self): - await self.bot.sync_commands() - print(f"We have logged in as {self.bot.user}: ID = {self.bot.user.id}") - - @commands.Cog.listener() - async def on_message(self, message): - with sentry_sdk.start_transaction(op="on_message", name="discord.on_message"): - # Don't let the bot reply too itself - if message.author == self.bot.user: - return - - user_id = f"discord_{str(message.author.id)}" - # Get cache for conversation - async with LOCK: - CONVERSATION = CACHE.get_or_create(location_id=str(message.channel.id), user_id=user_id) - - # Get the message content but remove any mentions - inp = message.content.replace(str('<@' + str(self.bot.user.id) + '>'), '') - n = 1800 - - async def respond(reply = True, forward_thought = True): - "Generate response too user" - async with message.channel.typing(): - # thought = "" - # response = "" - # if (CONVERSATION.metadata is not None and "A/B" in CONVERSATION.metadata and CONVERSATION.metadata["A/B"] == True): - # async with httpx.AsyncClient() as client: - # response = await client.post(f'{os.environ["HONCHO_URL"]}/chat', json={ - # "user_id": CONVERSATION.user_id, - # "conversation_id": CONVERSATION.conversation_id, - # "message": inp - # }, timeout=None) - # response_text = response.json() - # thought = response_text["thought"] - # response = response_text["response"] - # else: - thought, response = await BloomChain.chat(CONVERSATION, inp) - - # sanitize thought by adding zero width spaces to triple backticks - thought = thought.replace("```", "`\u200b`\u200b`") - - thought_channel = self.bot.get_channel(int(THOUGHT_CHANNEL)) - - # Thought Forwarding - if (forward_thought): - link = f"https://discord.com/channels/{message.guild.id}/{message.channel.id}/{message.id}" - if len(thought) > n: - chunks = [thought[i:i+n] for i in range(0, len(thought), n)] - for i in range(len(chunks)): - await thought_channel.send(f"{link}\n```\nThought #{i}: {chunks[i]}\n```") - else: - await thought_channel.send(f"{link}\n```\nThought: {thought}\n```") - - # Response Forwarding - if len(response) > n: - chunks = [response[i:i+n] for i in range(0, len(response), n)] - for chunk in chunks: - if (reply): - await message.reply(chunk) - else: - await message.channel.send(chunk) - else: - if (reply): - await message.reply(response) - else: - await message.channel.send(response) - - # if the message came from a DM channel... - if isinstance(message.channel, discord.channel.DMChannel): - await respond(reply=False, forward_thought=False) - - # If the bot was mentioned in the message - if not isinstance(message.channel, discord.channel.DMChannel): - if str(self.bot.user.id) in message.content: - await respond(forward_thought=True) - - # If the bot was replied to in the message - if not isinstance(message.channel, discord.channel.DMChannel): - if message.reference is not None: - reply_msg = await self.bot.get_channel(message.channel.id).fetch_message(message.reference.message_id) - if reply_msg.author == self.bot.user: - if reply_msg.content.startswith("https://discord.com"): - return - if message.content.startswith("!no") or message.content.startswith("!No"): - return - await respond(forward_thought=True) - - - @commands.slash_command(description="Help using the bot") - async def help(self, ctx: discord.ApplicationContext): - """ - Displays help message - """ - help_message = """ -Bloom is your digital learning companion. It can help you explore whatever you'd like to understand using Socratic dialogue 🏛️ - -Some possibilities: -🧠 Learn something new -🐇 Go down a rabbit hole -🚀 Have a stimulating conversation -⚔️ Challenge your beliefs & assumptions - -You can also ask Bloom to help you with academic work, like: -✍️ Workshopping your writing -🔎 Doing research -📚 Reading comprehension -🗺️ Planning for assignments - -**Instructions** -💬 You can chat with Bloom just like you'd chat with anyone else on Discord -🚧 If Bloom is going in a direction you don't like, just say so! -👋 When you're ready to end the conversation, say goodbye and Bloom will too -🔄 If you'd like to restart the conversation, use the /restart command. - -**More Help** -If you're still having trouble, drop a message in https://discord.com/channels/1076192451997474938/1092832830159065128 and Bloom's builders will help you out! - """ - await ctx.respond(help_message) - - @commands.slash_command(description="Restart the conversation with the tutor") - async def restart(self, ctx: discord.ApplicationContext, respond: Optional[bool] = True): - with sentry_sdk.start_transaction(op="restart", name="discord.restart"): - """ - Clears the conversation history and reloads the chains - - Args: - ctx: context, necessary for bot commands - """ - async with LOCK: - CONVERSATION = CACHE.get_or_create(location_id=str(ctx.channel_id), user_id=f"discord_{str(ctx.author.id)}", restart=True) - - if respond: - msg = "Great! 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