owen
dcf10d85b3
The cog's vision_model defaulted to the text-only llama3.2:3b, so any image in the message/reply was sent to a non-vision model, causing Ollama 400 'invalid image input'. Now the bot tells the user images aren't supported and continues with text-only, preserving normal chat.
547 lines
23 KiB
Python
547 lines
23 KiB
Python
import aiohttp
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import discord
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from redbot.core import commands, Config, checks
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from redbot.core.bot import Red
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class APIKeyModal(discord.ui.Modal):
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def __init__(self, config):
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super().__init__(title="API Key")
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self.config = config
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self.key_input = discord.ui.TextInput(
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label="API Key",
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style=discord.TextStyle.short,
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placeholder="Paste your API key here",
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required=True,
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)
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self.add_item(self.key_input)
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async def on_submit(self, interaction: discord.Interaction):
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await self.config.api_key.set(self.key_input.value)
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await interaction.response.send_message("API key saved.", ephemeral=True)
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class APIKeyButton(discord.ui.View):
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def __init__(self, config):
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super().__init__(timeout=60)
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self.config = config
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@discord.ui.button(label="Set API Key", style=discord.ButtonStyle.primary)
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async def set_key(self, interaction: discord.Interaction, button: discord.ui.Button):
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await interaction.response.send_modal(APIKeyModal(self.config))
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self.stop()
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class Assistant(commands.Cog):
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"""AI chatbot assistant. Set a chat channel or get responses when the bot is pinged."""
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# Default backend: the local Ollama server (OpenAI-compatible) on gpu1.
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# Override per deployment with [p]assistant baseurl. GreenPT
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# (https://api.greenpt.ai/v1) remains usable as a fallback by setting the
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# base URL back to it and providing an API key.
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DEFAULT_BASE_URL = "http://127.0.0.1:11434/v1"
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def __init__(self, bot: Red):
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self.bot = bot
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self.session: aiohttp.ClientSession | None = None
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self.config = Config.get_conf(self, identifier=987654321)
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self.config.register_guild(
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enabled=True,
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chat_channel=None,
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model="llama3.2:3b-instruct-q4_K_M",
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vision_model="llama3.2:3b-instruct-q4_K_M",
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temperature=0.7,
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system_prompt=(
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"You are a witty, quick-humored chatbot in a Discord server. "
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"Keep replies short, punchy, and funny. Favor clever, playful "
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"banter over long explanations. Stay good-natured; never be "
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"genuinely mean or offensive."
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),
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question_mode=False,
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max_tokens=None,
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reasoning_effort=None,
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)
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self.config.register_global(api_key=None, base_url=self.DEFAULT_BASE_URL)
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self.history: dict[int, list[dict]] = {}
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@staticmethod
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def _is_local(base_url: str) -> bool:
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"""A local endpoint (Ollama) does not require an API key."""
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return "127.0.0.1" in base_url or "localhost" in base_url
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async def cog_load(self):
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self.session = aiohttp.ClientSession()
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async def cog_unload(self):
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if self.session:
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await self.session.close()
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# ---------------------------------------------------------------------------
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# Listeners
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# ---------------------------------------------------------------------------
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@commands.Cog.listener()
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async def on_message(self, message: discord.Message):
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if message.author.bot:
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return
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if not message.guild:
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return
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guild = message.guild
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enabled = await self.config.guild(guild).enabled()
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if not enabled:
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return
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# A local (Ollama) endpoint needs no API key; a remote one does.
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base_url = await self.config.base_url()
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api_key = await self.config.api_key()
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if not self._is_local(base_url) and not api_key:
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return
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chat_channel_id = await self.config.guild(guild).chat_channel()
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question_mode = await self.config.guild(guild).question_mode()
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is_chat_channel = chat_channel_id and message.channel.id == chat_channel_id
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is_ping = self.bot.user in message.mentions
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if not is_chat_channel and not is_ping:
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return
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content = message.content
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if is_ping:
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for mention in (f"<@{self.bot.user.id}>", f"<@!{self.bot.user.id}>"):
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content = content.replace(mention, "").strip()
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# Collect image URLs from this message and any replied-to message
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image_urls = []
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for attachment in message.attachments:
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if attachment.content_type and attachment.content_type.startswith("image/"):
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image_urls.append(attachment.url)
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# Check replied-to message for images
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if message.reference and message.reference.message_id:
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try:
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ref_msg = await message.channel.fetch_message(message.reference.message_id)
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for attachment in ref_msg.attachments:
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if attachment.content_type and attachment.content_type.startswith("image/"):
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image_urls.append(attachment.url)
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# Also check embeds for image URLs
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for embed in ref_msg.embeds:
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if embed.image and embed.image.url:
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image_urls.append(embed.image.url)
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if embed.thumbnail and embed.thumbnail.url:
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image_urls.append(embed.thumbnail.url)
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except (discord.NotFound, discord.HTTPException):
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pass
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if not content and not image_urls:
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return
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# Vision is not supported by the configured text-only model. If the user
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# sent image(s), tell them once and skip the images, continuing with any
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# text so normal chat keeps working (avoids Ollama 400 "invalid image
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# input" from sending images to a non-vision model).
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if image_urls:
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await message.reply("Images not supported at this time.")
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image_urls = []
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if not content:
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return
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if question_mode and not content.rstrip().endswith("?"):
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if is_ping:
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await message.reply("Question mode is on - messages must end with **?**.")
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return
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async with message.channel.typing():
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reply = await self._chat(guild, message.channel.id, content, image_urls=image_urls)
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if reply is None:
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await message.reply("No response from the assistant.")
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return
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if not reply.strip():
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await message.reply("*(The assistant returned an empty response.)*")
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return
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if len(reply) <= 2000:
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await message.reply(reply)
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else:
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chunks = [reply[i : i + 2000] for i in range(0, len(reply), 2000)]
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for chunk in chunks:
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await message.reply(chunk)
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# ---------------------------------------------------------------------------
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# API
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# ---------------------------------------------------------------------------
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async def _chat(self, guild: discord.Guild, channel_id: int, user_msg: str, image_urls: list[str] | None = None) -> str | None:
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if not self.session:
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return None
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base_url = await self.config.base_url()
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api_key = await self.config.api_key()
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if not self._is_local(base_url) and not api_key:
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return None
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model = await self.config.guild(guild).model()
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temperature = await self.config.guild(guild).temperature()
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system_prompt = await self.config.guild(guild).system_prompt()
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max_tokens = await self.config.guild(guild).max_tokens()
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reasoning_effort = await self.config.guild(guild).reasoning_effort()
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# Auto-switch to vision model when images are present
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if image_urls:
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vision_model = await self.config.guild(guild).vision_model()
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if vision_model:
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model = vision_model
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key = (guild.id, channel_id)
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if key not in self.history:
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self.history[key] = []
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# Build user message content (text-only or multimodal)
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if image_urls:
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# OpenAI vision format: content is an array of parts
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user_content = []
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if user_msg:
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user_content.append({"type": "text", "text": user_msg})
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for url in image_urls:
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user_content.append({"type": "image_url", "image_url": {"url": url}})
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self.history[key].append({"role": "user", "content": user_content})
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else:
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self.history[key].append({"role": "user", "content": user_msg})
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messages = [{"role": "system", "content": system_prompt}] + self.history[key][-20:]
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payload = {
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"model": model,
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"messages": messages,
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"temperature": temperature,
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}
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if max_tokens:
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payload["max_tokens"] = max_tokens
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if reasoning_effort:
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payload["reasoning_effort"] = reasoning_effort
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headers = {"Content-Type": "application/json"}
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if api_key:
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headers["Authorization"] = f"Bearer {api_key}"
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try:
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async with self.session.post(
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f"{base_url}/chat/completions",
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json=payload,
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headers=headers,
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timeout=aiohttp.ClientTimeout(total=120),
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) as resp:
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if resp.status != 200:
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body = await resp.text()
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return f"API error {resp.status}: {body[:300]}"
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data = await resp.json()
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except Exception as exc:
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return f"Request failed: {exc}"
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try:
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choice = data["choices"][0]["message"]
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reply = choice.get("content") or ""
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except (KeyError, IndexError):
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return "Unexpected API response."
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if not reply.strip():
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return "The model returned an empty response. Try rephrasing or switching models."
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self.history[key].append({"role": "assistant", "content": reply})
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if len(self.history[key]) > 40:
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self.history[key] = self.history[key][-20:]
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return reply
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# ---------------------------------------------------------------------------
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# Commands
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# ---------------------------------------------------------------------------
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@commands.group(name="assistant", invoke_without_command=True)
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@commands.guild_only()
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async def assistant(self, ctx: commands.Context):
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"""AI assistant settings."""
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await ctx.send_help(ctx.command)
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@assistant.command(name="setkey")
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@checks.is_owner()
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async def assistant_setkey(self, ctx: commands.Context):
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"""Set the API key (opens a private modal)."""
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view = APIKeyButton(self.config)
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await ctx.send("Click below to set the API key:", view=view)
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@assistant.command(name="baseurl")
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@checks.is_owner()
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async def assistant_baseurl(self, ctx: commands.Context, url: str | None = None):
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"""Set the API base URL. Omit to reset to the local Ollama endpoint.
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Examples:
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[p]assistant baseurl (reset to local Ollama)
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[p]assistant baseurl https://api.greenpt.ai/v1 (use GreenPT)
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A local endpoint (127.0.0.1/localhost) needs no API key.
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"""
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if url is None:
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url = self.DEFAULT_BASE_URL
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url = url.rstrip("/")
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await self.config.base_url.set(url)
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note = " (local, no API key needed)" if self._is_local(url) else " (remote, API key required)"
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await ctx.send(f"Base URL set to `{url}`{note}.")
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@assistant.command(name="toggle")
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async def assistant_toggle(self, ctx: commands.Context):
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"""Toggle the assistant on or off for this server."""
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current = await self.config.guild(ctx.guild).enabled()
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await self.config.guild(ctx.guild).enabled.set(not current)
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state = "enabled" if not current else "disabled"
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await ctx.send(f"Assistant **{state}** for this server.")
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@assistant.command(name="channel")
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async def assistant_channel(self, ctx: commands.Context, channel: discord.TextChannel | None = None):
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"""Set the dedicated chat channel. Omit to clear."""
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if channel is None:
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await self.config.guild(ctx.guild).chat_channel.set(None)
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await ctx.send("Chat channel cleared.")
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else:
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await self.config.guild(ctx.guild).chat_channel.set(channel.id)
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await ctx.send(f"Chat channel set to {channel.mention}.")
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@assistant.command(name="model")
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async def assistant_model(self, ctx: commands.Context, model: str):
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"""Set the model. Local (Ollama): llama3.2:3b-instruct-q4_K_M. Remote (GreenPT): gemma4, green-l."""
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await self.config.guild(ctx.guild).model.set(model)
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await ctx.send(f"Model set to **{model}**.")
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@assistant.command(name="visionmodel")
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async def assistant_visionmodel(self, ctx: commands.Context, model: str = None):
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"""Set the model used when images are detected. Omit to show current.
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Vision-capable models: gemma4, green-l, green-r, gpt-oss-120b,
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gemma-3-27b-it, mistral-small-3.2-24b-instruct-2506, kimi-k2.6, kimi-k3
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"""
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if model is None:
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current = await self.config.guild(ctx.guild).vision_model()
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await ctx.send(f"Vision model: **{current}**")
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else:
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await self.config.guild(ctx.guild).vision_model.set(model)
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await ctx.send(f"Vision model set to **{model}**.")
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@assistant.command(name="models")
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async def assistant_models(self, ctx: commands.Context):
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"""List available chat models sorted by cost (cheapest first)."""
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# Pricing per 1M tokens (EUR) from GreenPT docs
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MODEL_PRICING = {
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"deepseek-v4-flash-0731": {"input": 0.14, "output": 0.35},
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"minimax-m2.5": {"input": 0.17, "output": 0.99},
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"mistral-small-3.2-24b-instruct-2506": {"input": 0.20, "output": 0.40},
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"gpt-oss-120b": {"input": 0.20, "output": 0.70},
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"voxtral-small-24b-2507": {"input": 0.20, "output": 0.45},
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"green-l": {"input": 0.25, "output": 0.80},
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"green-l-raw": {"input": 0.25, "output": 0.80},
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"qwen3-coder-30b-a3b-instruct": {"input": 0.25, "output": 0.95},
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"gemma-3-27b-it": {"input": 0.30, "output": 0.60},
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"qwen3.6-35b-a3b": {"input": 0.30, "output": 1.80},
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"green-r": {"input": 0.35, "output": 0.95},
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"green-r-raw": {"input": 0.35, "output": 0.95},
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"gemma4": {"input": 0.50, "output": 1.50},
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"devstral-2-123b-instruct-2512": {"input": 0.50, "output": 2.40},
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"kimi-k2.6": {"input": 0.66, "output": 3.75},
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"qwen3.5-397b-a17b": {"input": 0.70, "output": 4.35},
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"kimi-k2.7-code": {"input": 0.79, "output": 3.85},
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"qwen3-235b-a22b-instruct-2507": {"input": 0.90, "output": 2.70},
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"glm-5.2": {"input": 1.10, "output": 4.40},
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"llama-3.3-70b-instruct": {"input": 1.10, "output": 1.10},
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"mistral-medium-3.5-128b": {"input": 1.80, "output": 9.00},
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"kimi-k3": {"input": 3.30, "output": 16.50},
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# Compression variants (same price as glm-5.2)
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"glm-5.2-caveman": {"input": 1.10, "output": 4.40},
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"glm-5.2-caveman-lite": {"input": 1.10, "output": 4.40},
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"glm-5.2-caveman-ultra": {"input": 1.10, "output": 4.40},
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"glm-5.2-honey": {"input": 1.10, "output": 4.40},
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"glm-5.2-honey-lite": {"input": 1.10, "output": 4.40},
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"glm-5.2-honey-ultra": {"input": 1.10, "output": 4.40},
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"glm-5.2-ponytail": {"input": 1.10, "output": 4.40},
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"glm-5.2-ponytail-lite": {"input": 1.10, "output": 4.40},
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"glm-5.2-ponytail-ultra": {"input": 1.10, "output": 4.40},
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}
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# Models that aren't usable for chat completions
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NON_CHAT_MODELS = {
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"green-embedding", "green-embeddings", "green-rerank",
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"green-s", "green-s-pro", "bge-multilingual-gemma2",
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"qwen3-embedding-8b",
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}
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base_url = await self.config.base_url()
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api_key = await self.config.api_key()
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if not self.session or (not self._is_local(base_url) and not api_key):
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await ctx.send("API key not set. Use `[p]assistant setkey` first.")
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return
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headers = {}
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if api_key:
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headers["Authorization"] = f"Bearer {api_key}"
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# Fetch live model list from API
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try:
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async with self.session.get(
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f"{base_url}/models",
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headers=headers,
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timeout=aiohttp.ClientTimeout(total=15),
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) as resp:
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if resp.status != 200:
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await ctx.send(f"Failed to fetch models (HTTP {resp.status}).")
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return
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data = await resp.json()
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except Exception as exc:
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await ctx.send(f"Request failed: {exc}")
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return
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models = data.get("data", [])
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if not models:
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await ctx.send("No models returned by the API.")
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return
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# Build list with pricing, sorted by output cost (most relevant for chat)
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current_model = await self.config.guild(ctx.guild).model()
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model_entries = []
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for m in models:
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model_id = m["id"]
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if model_id in NON_CHAT_MODELS:
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continue
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pricing = MODEL_PRICING.get(model_id)
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if pricing:
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sort_key = pricing["output"]
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model_entries.append((sort_key, model_id, pricing))
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else:
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model_entries.append((9999, model_id, None))
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model_entries.sort(key=lambda x: (x[0], x[1]))
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lines = []
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for sort_key, model_id, pricing in model_entries:
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marker = " ◀" if model_id == current_model else ""
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if pricing:
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lines.append(
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f"`{model_id}` - €{pricing['input']:.2f} in / €{pricing['output']:.2f} out{marker}"
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)
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else:
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lines.append(f"`{model_id}` - pricing unknown{marker}")
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embed = discord.Embed(
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title="Available Models (cheapest first)",
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description="\n".join(lines),
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color=await ctx.embed_color(),
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)
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embed.set_footer(text="Prices in EUR per 1M tokens, sorted by output cost. ◀ = current model.")
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await ctx.send(embed=embed)
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@assistant.command(name="temp")
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async def assistant_temp(self, ctx: commands.Context, temperature: float):
|
|
"""Set the temperature (0.0 - 2.0)."""
|
|
if not 0.0 <= temperature <= 2.0:
|
|
await ctx.send("Must be between 0.0 and 2.0.")
|
|
return
|
|
await self.config.guild(ctx.guild).temperature.set(temperature)
|
|
await ctx.send(f"Temperature set to **{temperature}**.")
|
|
|
|
@assistant.command(name="maxlength")
|
|
async def assistant_maxlength(self, ctx: commands.Context, tokens: int = None):
|
|
"""Set max response length in tokens. Omit to clear (unlimited)."""
|
|
if tokens is None:
|
|
await self.config.guild(ctx.guild).max_tokens.set(None)
|
|
await ctx.send("Max response length cleared (unlimited).")
|
|
elif tokens < 1:
|
|
await ctx.send("Must be a positive number.")
|
|
else:
|
|
await self.config.guild(ctx.guild).max_tokens.set(tokens)
|
|
await ctx.send(f"Max response length set to **{tokens}** tokens.")
|
|
|
|
@assistant.command(name="reasoning")
|
|
async def assistant_reasoning(self, ctx: commands.Context, level: str = None):
|
|
"""Set reasoning effort level. Omit to clear (model default).
|
|
|
|
Levels: none, minimal, low, medium, high
|
|
Not all models support all levels. Use 'none' to disable thinking.
|
|
"""
|
|
valid_levels = ("none", "minimal", "low", "medium", "high")
|
|
if level is None:
|
|
await self.config.guild(ctx.guild).reasoning_effort.set(None)
|
|
await ctx.send("Reasoning effort cleared (model default - thinking enabled).")
|
|
elif level.lower() not in valid_levels:
|
|
await ctx.send(f"Invalid level. Choose from: {', '.join(valid_levels)}")
|
|
else:
|
|
await self.config.guild(ctx.guild).reasoning_effort.set(level.lower())
|
|
await ctx.send(f"Reasoning effort set to **{level.lower()}**.")
|
|
|
|
@assistant.command(name="system")
|
|
async def assistant_system(self, ctx: commands.Context, *, prompt: str):
|
|
"""Set the system prompt."""
|
|
await self.config.guild(ctx.guild).system_prompt.set(prompt)
|
|
await ctx.send("System prompt updated.")
|
|
|
|
@assistant.command(name="showprompt")
|
|
@checks.admin_or_permissions(manage_guild=True)
|
|
async def assistant_showprompt(self, ctx: commands.Context):
|
|
"""Show the full system prompt (admin only)."""
|
|
prompt = await self.config.guild(ctx.guild).system_prompt()
|
|
if len(prompt) <= 2000:
|
|
await ctx.send(f"```\n{prompt}\n```")
|
|
else:
|
|
chunks = [prompt[i:i + 1990] for i in range(0, len(prompt), 1990)]
|
|
for chunk in chunks:
|
|
await ctx.send(f"```\n{chunk}\n```")
|
|
|
|
@assistant.command(name="question")
|
|
async def assistant_question(self, ctx: commands.Context):
|
|
"""Toggle question mode (messages must end with ?)."""
|
|
current = await self.config.guild(ctx.guild).question_mode()
|
|
await self.config.guild(ctx.guild).question_mode.set(not current)
|
|
state = "ON" if not current else "OFF"
|
|
await ctx.send(f"Question mode **{state}**.")
|
|
|
|
@assistant.command(name="clear")
|
|
async def assistant_clear(self, ctx: commands.Context):
|
|
"""Clear conversation history for this channel."""
|
|
key = (ctx.guild.id, ctx.channel.id)
|
|
self.history.pop(key, None)
|
|
await ctx.send("History cleared for this channel.")
|
|
|
|
@assistant.command(name="settings")
|
|
async def assistant_settings(self, ctx: commands.Context):
|
|
"""Show current settings."""
|
|
cfg = self.config.guild(ctx.guild)
|
|
enabled = await cfg.enabled()
|
|
chat_channel = await cfg.chat_channel()
|
|
model = await cfg.model()
|
|
vision_model = await cfg.vision_model()
|
|
temp = await cfg.temperature()
|
|
sys_prompt = await cfg.system_prompt()
|
|
q_mode = await cfg.question_mode()
|
|
max_tokens = await cfg.max_tokens()
|
|
reasoning_effort = await cfg.reasoning_effort()
|
|
base_url = await self.config.base_url()
|
|
has_key = await self.config.api_key() is not None
|
|
|
|
channel_str = f"<#{chat_channel}>" if chat_channel else "None"
|
|
|
|
embed = discord.Embed(title="Assistant Settings", color=await ctx.embed_color())
|
|
embed.add_field(name="Enabled", value=str(enabled), inline=True)
|
|
embed.add_field(name="Chat Channel", value=channel_str, inline=True)
|
|
embed.add_field(name="API Key", value="Set" if has_key else "Not set", inline=True)
|
|
embed.add_field(name="Backend", value=base_url, inline=False)
|
|
embed.add_field(name="Model", value=model, inline=True)
|
|
embed.add_field(name="Vision Model", value=vision_model, inline=True)
|
|
embed.add_field(name="Temperature", value=str(temp), inline=True)
|
|
embed.add_field(name="Question Mode", value=str(q_mode), inline=True)
|
|
embed.add_field(name="Max Tokens", value=str(max_tokens) if max_tokens else "Unlimited", inline=True)
|
|
embed.add_field(name="Reasoning", value=reasoning_effort if reasoning_effort else "Default (on)", inline=True)
|
|
embed.add_field(name="System Prompt", value=sys_prompt[:200], inline=False)
|
|
|
|
await ctx.send(embed=embed)
|