Bot LLM functionality is now working

main.py

@@ -26,6 +26,7 @@ class DankBot(discord.ext.commands.Bot):
 async def main():
     intents = discord.Intents.default()
     intents.message_content = True
+    intents.members = True
     logging.basicConfig(level=logging.INFO)
 
     with open(".token") as token_file:

plugins/botchat/plugin.py

@@ -1,10 +1,11 @@
 # Plugin for bot LLM chat
 from discord.ext import commands
 import discord
+import io
+import aiohttp
 import yaml
 import random
 import os
-import llm
 
 plugin_folder=os.path.dirname(os.path.realpath(__file__))
 prompts_folder=os.path.join(plugin_folder, 'prompts')
@@ -12,30 +13,107 @@ default_prompt="default.txt"
 config_filename=os.path.join(plugin_folder, 'settings.yaml')
 llm_data = {}
 
+async def prompt_llm(prompt):
+    print("Prompting LLM")
+    print(f"PROMPT DATA\n{prompt}")
+    async with aiohttp.ClientSession(llm_data["api_base"]) as session:
+        async with session.post("/completion", json={"prompt": prompt, "n_predict": 250}) as resp:
+            print(f"LLM response status {resp.status}")
+            response_json=await resp.json()
+            content=response_json["content"]
+            return content
+
+def get_message_contents(msg):
+    message_text = f"{msg.author.name}: {msg.clean_content}"
+    print(f"Message contents -- {message_text}")
+    return message_text
+
 async def get_chat_history(ctx, limit=20):
     messages = [message async for message in ctx.channel.history(limit=limit)]
-    plain_messages = list(map(lambda m: f"{m.author.name}: {m.content}", messages))
+    plain_messages = list(map(get_message_contents, messages))
     plain_messages.reverse()
     return plain_messages
 
 @commands.command(name='llm')
 async def llm_response(ctx):
+    await ctx.channel.typing()
     prompt_file = os.path.join(prompts_folder, default_prompt)
     with open(prompt_file, 'r') as prompt_file:
         prompt = prompt_file.read()
     history_arr = await get_chat_history(ctx)
     history_str = '\n'.join(history_arr)
     full_prompt = prompt.replace("<CONVHISTORY>", history_str)
-    response = llm_data["model"].prompt(full_prompt)
-    print(response)
+    response = await prompt_llm(full_prompt)
+    await send_chat_responses(ctx, response)
+
+async def send_chat_responses(ctx, response_text):
+    print("Processing chat response")
+    fullResponseLog = "dank-bot:" + response_text # first response won't include the user
+    responseLines = fullResponseLog.splitlines()
+    output_strs = []
+    for line in responseLines:
+        if line.startswith("dank-bot:"):
+            truncStr = line.replace("dank-bot:","")
+            output_strs.append(truncStr)
+        elif line.find(":") > 0 and line.find(":") < 20:
+            break
+        else:
+            output_strs.append(line.strip())
+    for outs in output_strs:
+        final_output_str = await fixup_mentions(ctx, outs)
+        await ctx.channel.send(final_output_str)
+
+async def fixup_mentions(ctx, text):
+    newtext = text
+    if (isinstance(ctx.channel,discord.DMChannel)):
+        newtext = newtext.replace(f"@{ctx.author.name}", ctx.author.mention)
+    elif (isinstance(ctx.channel,discord.GroupChannel)):
+        for user in ctx.channel.recipients:
+            newtext = newtext.replace(f"@{user.name}", user.mention)
+    elif (isinstance(ctx.channel,discord.Thread)):
+        for user in await ctx.channel.fetch_members():
+            member_info = await ctx.channel.guild.fetch_member(user.id)
+            newtext = newtext.replace(f"@{member_info.name}", member_info.mention)
+    else:
+        for user in ctx.channel.members:
+            newtext = newtext.replace(f"@{user.name}", user.mention)
+        if ctx.guild != None:
+            for role in ctx.guild.roles:
+                newtext = newtext.replace(f"@{role.name}", role.mention)
+    return newtext
+
+async def handle_message(ctx):
+    print("Dank-bot received message")
+    print(f"Dank-bot ID is {llm_data['bot'].user.id}")
+    bot_id = llm_data['bot'].user.id
+
+    # First case, bot DMed
+    if (isinstance(ctx.channel,discord.DMChannel) and ctx.author.id != bot_id):
+        print("Dank-bot DMed, responding")
+        await llm_response(ctx)
+        return
+
+    # Second case, bot mentioned
+    bot_mentions=list(filter(lambda x: x.id == bot_id, ctx.mentions))
+    if (len(bot_mentions) > 0):
+        print("Dank-bot mentioned, responding")
+        await llm_response(ctx)
+        return
+
+    # Other case, random response
+    random_roll = random.random()
+    print(f"Dank-bot rolled {random_roll}")
+    if (random_roll < llm_data['response_probability']):
+        print(f"{random_roll} < {llm_data['response_probability']}, responding")
+        await llm_response(ctx)
+        return
 
 async def setup(bot):
     with open(config_filename, 'r') as conf_file:
        yaml_config = yaml.safe_load(conf_file)
-       model = llm.get_model("gpt-3.5-turbo-instruct")
-       model.key = yaml_config["api_key"]
-       model.api_base = yaml_config["api_base"]
-       model.completion = True
-       llm_data["model"] = model
+       llm_data["api_base"] = yaml_config["api_base"]
+       llm_data["response_probability"] = yaml_config["response_probability"]
     bot.add_command(llm_response)
+    bot.add_listener(handle_message, "on_message")
+    llm_data["bot"] = bot
     print("LLM interface initialized")

plugins/botchat/settings.yaml

@@ -1,2 +1,3 @@
 api_base: "http://192.168.1.204:5000"
 api_key: "empty"
+response_probability: 0.05