feat: auto-generate room names on message send

Introduces functionality to auto-generate and set room names for conversations that still have the default name upon sending a message. This leverages a new `generate_room_name` method that creates a room name based on the last few messages. Enhancements include better event handling with refined logging during event processing errors. This update aims to enrich room identification for users by providing more contextually relevant names, improving navigation and user experience in multi-room setups.

.forgejo/workflows/docker-tag.yml

@@ -1,33 +0,0 @@
-name: Docker CI/CD
-
-on:
-  push:
-    tags:
-      - "*"
-
-jobs:
-  docker:
-    name: Docker Build and Push to Docker Hub
-    container:
-      image: node:20-bookworm
-    steps:
-      - name: Install dependencies
-        run: |
-          apt update
-          apt install -y docker.io
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-      - name: Login to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_TOKEN }}
-      - name: Build and push to Docker Hub
-        uses: docker/build-push-action@v5
-        with:
-          push: true
-          tags: |
-            kumitterer/matrix-gptbot:latest
-            kumitterer/matrix-gptbot:${{ env.GITHUB_REF_NAME }}

.github/dependabot.yml

@@ -1,6 +0,0 @@
-version: 2
-updates:
-  - package-ecosystem: "pip"
-    directory: "/"
-    schedule:
-      interval: "daily"

.gitignore

@@ -7,5 +7,4 @@ venv/
 __pycache__/
 *.bak
 dist/
-pantalaimon.conf
-.ruff_cache/
+pantalaimon.conf

CHANGELOG.md

@@ -1,79 +1,42 @@
 # Changelog
 
-### 0.3.14 (2024-05-21)
-
-- Fixed issue in handling of login credentials, added error handling for login failures
-
-### 0.3.13 (2024-05-20)
-
-- **Breaking Change**: The `ForceTools` configuration option behavior has changed. Instead of using a separate model for tools, the bot will now try to use the default chat model for tool requests, even if that model is not known to support tools.
-- Added `ToolModel` to OpenAI configuration to allow specifying a separate model for tool requests
-- Automatically resize context images to a default maximum of 2000x768 pixels before sending them to the AI model
-
-### 0.3.12 (2024-05-17)
-
-- Added `ForceVision` to OpenAI configuration to allow third-party models to be used for image recognition
-- Added some missing properties to `OpenAI` class
-
-### 0.3.11 (2024-05-17)
-
-- Refactoring of AI provider handling in preparation for multiple AI providers: Introduced a `BaseAI` class that all AI providers must inherit from
-- Added support for temperature, top_p, frequency_penalty, and presence_penalty in `AllowedUsers`
-- Introduced ruff as a development dependency for linting and applied some linting fixes
-- Fixed `gptbot` command line tool
-- Changed default chat model to `gpt-4o`
-- Changed default image generation model to `dall-e-3`
-- Removed currently unused sections from `config.dist.ini`
-- Changed provided Pantalaimon config file to not use a key ring by default
-- Prevent bot from crashing when an unneeded dependency is missing
-
-### 0.3.10 (2024-05-16)
-
-- Add support for specifying room IDs in `AllowedUsers`
-- Minor fixes
-
-### 0.3.9 (2024-04-23)
-
-- Add Docker support for running the bot in a container
-- Add TrackingMore dependency to pyproject.toml
-- Replace deprecated `pkg_resources` with `importlib.metadata`
-- Allow password-based login on first login
+### 0.3.9 (unreleased)
 
 ### 0.3.7 / 0.3.8 (2024-04-15)
 
-- Changes to URLs in pyproject.toml
-- Migrated build pipeline to Forgejo Actions
+* Changes to URLs in pyproject.toml
+* Migrated build pipeline to Forgejo Actions
 
 ### 0.3.6 (2024-04-11)
 
-- Fix issue where message type detection would fail for some messages (cece8cfb24e6f2e98d80d233b688c3e2c0ff05ae)
+* Fix issue where message type detection would fail for some messages (cece8cfb24e6f2e98d80d233b688c3e2c0ff05ae)
 
 ### 0.3.5
 
-- Only set room avatar if it is not already set (a9c23ee9c42d0a741a7eb485315e3e2d0a526725)
+* Only set room avatar if it is not already set (a9c23ee9c42d0a741a7eb485315e3e2d0a526725)
 
 ### 0.3.4 (2024-02-18)
 
-- Optimize chat model and message handling (10b74187eb43bca516e2a469b69be1dbc9496408)
-- Fix parameter passing in chat response calls (2d564afd979e7bc9eee8204450254c9f86b663b5)
-- Refine message filtering in bot event processing (c47f947f80f79a443bbd622833662e3122b121ef)
+* Optimize chat model and message handling (10b74187eb43bca516e2a469b69be1dbc9496408)
+* Fix parameter passing in chat response calls (2d564afd979e7bc9eee8204450254c9f86b663b5)
+* Refine message filtering in bot event processing (c47f947f80f79a443bbd622833662e3122b121ef)
 
 ### 0.3.3 (2024-01-26)
 
-- Implement recursion check in response generation (e6bc23e564e51aa149432fc67ce381a9260ee5f5)
-- Implement tool emulation for models without tool support (0acc1456f9e4efa09e799f6ce2ec9a31f439fe4a)
-- Allow selection of chat model by room (87173ae284957f66594e66166508e4e3bd60c26b)
+* Implement recursion check in response generation (e6bc23e564e51aa149432fc67ce381a9260ee5f5)
+* Implement tool emulation for models without tool support (0acc1456f9e4efa09e799f6ce2ec9a31f439fe4a)
+* Allow selection of chat model by room (87173ae284957f66594e66166508e4e3bd60c26b)
 
 ### 0.3.2 (2023-12-14)
 
-- Removed key upload from room event handler
-- Fixed output of `python -m gptbot -v` to display currently installed version
-- Workaround for bug preventing bot from responding when files are uploaded to an encrypted room
+* Removed key upload from room event handler
+* Fixed output of `python -m gptbot -v` to display currently installed version
+* Workaround for bug preventing bot from responding when files are uploaded to an encrypted room
 
 #### Known Issues
 
-- When using Pantalaimon: Bot is unable to download/use files uploaded to unencrypted rooms
+* When using Pantalaimon: Bot is unable to download/use files uploaded to unencrypted rooms
 
 ### 0.3.1 (2023-12-07)
 
-- Fixed issue in newroom task causing it to be called over and over again
+* Fixed issue in newroom task causing it to be called over and over again

Dockerfile

@@ -1,14 +0,0 @@
-FROM python:3.12-slim
-
-WORKDIR /app
-COPY src/ /app/src
-COPY pyproject.toml /app
-COPY README.md /app
-COPY LICENSE /app
-
-RUN apt update
-RUN apt install -y build-essential libpython3-dev ffmpeg
-RUN pip install .[all]
-RUN pip install 'future==1.0.0'
-
-CMD ["python", "-m", "gptbot"]

README.md

@@ -1,11 +1,6 @@
 # GPTbot
 
 [![Support Private.coffee!](https://shields.private.coffee/badge/private.coffee-support%20us!-pink?logo=coffeescript)](https://private.coffee)
-[![Matrix](https://shields.private.coffee/badge/Matrix-join%20us!-blue?logo=matrix)](https://matrix.to/#/#matrix-gptbot:private.coffee)
-[![PyPI](https://shields.private.coffee/pypi/v/matrix-gptbot)](https://pypi.org/project/matrix-gptbot/)
-[![PyPI - Python Version](https://shields.private.coffee/pypi/pyversions/matrix-gptbot)](https://pypi.org/project/matrix-gptbot/)
-[![PyPI - License](https://shields.private.coffee/pypi/l/matrix-gptbot)](https://pypi.org/project/matrix-gptbot/)
-[![Latest Git Commit](https://shields.private.coffee/gitea/last-commit/privatecoffee/matrix-gptbot?gitea_url=https://git.private.coffee)](https://git.private.coffee/privatecoffee/matrix-gptbot)
 
 GPTbot is a simple bot that uses different APIs to generate responses to
 messages in a Matrix room.
@@ -14,8 +9,8 @@ messages in a Matrix room.
 
 - AI-generated responses to text, image and voice messages in a Matrix room
   (chatbot)
-  - Currently supports OpenAI (`gpt-3.5-turbo` and `gpt-4`, `gpt-4o`, `whisper`
-    and `tts`) and compatible APIs (e.g. `ollama`)
+  - Currently supports OpenAI (`gpt-3.5-turbo` and `gpt-4`, including vision
+    preview, `whisper` and `tts`)
   - Able to generate pictures using OpenAI `dall-e-2`/`dall-e-3` models
   - Able to browse the web to find information
   - Able to use OpenWeatherMap to get weather information (requires separate
@@ -30,18 +25,16 @@ messages in a Matrix room.
 
 To run the bot, you will need Python 3.10 or newer.
 
-The bot has been tested with Python 3.12 on Arch, but should work with any
+The bot has been tested with Python 3.11 on Arch, but should work with any
 current version, and should not require any special dependencies or operating
 system features.
 
 ### Production
 
-#### PyPI
-
-The recommended way to install the bot is to use pip to install it from PyPI.
+The easiest way to install the bot is to use pip to install it from pypi.
 
 ```shell
-# Recommended: activate a venv first
+# If desired, activate a venv first
 
 python -m venv venv
 . venv/bin/activate
@@ -57,33 +50,10 @@ for all available features.
 You can also use `pip install git+https://git.private.coffee/privatecoffee/matrix-gptbot.git`
 to install the latest version from the Git repository.
 
-#### Docker
+#### Configuration
 
-A `docker-compose.yml` file is provided that you can use to run the bot with
-Docker Compose. You will need to create a `config.ini` file as described in the
-`Running` section.
-
-```shell
-# Clone the repository
-git clone https://git.private.coffee/privatecoffee/matrix-gptbot.git
-cd matrix-gptbot
-
-# Create a config file
-cp config.dist.ini config.ini
-# Edit the config file to your needs
-
-# Initialize the database file
-sqlite3 database.db "SELECT 1"
-
-# Optionally, create Pantalaimon config
-cp contrib/pantalaimon.example.conf pantalaimon.conf
-# Edit the Pantalaimon config file to your needs
-# Update your homeserver URL in the bot's config.ini to point to Pantalaimon (probably http://pantalaimon:8009 if you used the provided example config)
-# You can use `fetch_access_token.py` to get an access token for the bot
-
-# Start the bot
-docker-compose up -d
-```
+The bot requires a configuration file to be present in the working directory.
+Copy the provided `config.dist.ini` to `config.ini` and edit it to your needs.
 
 #### End-to-end encryption
 
@@ -92,9 +62,14 @@ file attachments, especially in rooms that are not encrypted, if the same
 user also uses the bot in encrypted rooms.
 
 The bot itself does not implement end-to-end encryption. However, it can be
-used in conjunction with [pantalaimon](https://github.com/matrix-org/pantalaimon).
+used in conjunction with [pantalaimon](https://github.com/matrix-org/pantalaimon),
+which is actually installed as a dependency of the bot.
 
-You first have to log in to your homeserver using `python fetch_access_token.py`,
+To use pantalaimon, create a `pantalaimon.conf` following the example in
+`pantalaimon.example.conf`, making sure to change the homeserver URL to match
+your homeserver. Then, start pantalaimon with `pantalaimon -c pantalaimon.conf`.
+
+You first have to log in to your homeserver using `python pantalaimon_first_login.py`,
 and can then use the returned access token in your bot's `config.ini` file.
 
 Make sure to also point the bot to your pantalaimon instance by setting
@@ -140,12 +115,7 @@ before merging.
 
 ## Running
 
-The bot requires a configuration file to be present in the working directory.
-
-Copy the provided `config.dist.ini` to `config.ini` and edit it to your needs.
-
-The bot can then be run with `python -m gptbot`. If required, activate a venv
-first.
+The bot can be run with `python -m gptbot`. If required, activate a venv first.
 
 You may want to run the bot in a screen or tmux session, or use a process
 manager like systemd. The repository contains a sample systemd service file
@@ -222,12 +192,10 @@ Note that this currently only works for audio messages and .mp3 file uploads.
 First of all, make sure that the bot is actually running. (Okay, that's not
 really troubleshooting, but it's a good start.)
 
-If the bot is running, check the logs, these should tell you what is going on.
-For example, if the bot is showing an error message like "Timed out, retrying",
-it is unable to reach your homeserver. In this case, check your homeserver URL
-and make sure that the bot can reach it. If you are using Pantalaimon, make
-sure that the bot is pointed to Pantalaimon and not directly to your 
-homeserver, and that Pantalaimon is running and reachable.
+If the bot is running, check the logs. The first few lines should contain
+"Starting bot...", "Syncing..." and "Bot started". If you don't see these
+lines, something went wrong during startup. Fortunately, the logs should
+contain more information about what went wrong.
 
 If you need help figuring out what went wrong, feel free to open an issue.
 

config.dist.ini

@@ -45,11 +45,10 @@ Operator = Contact details not set
 # DisplayName = GPTBot
 
 # A list of allowed users
-# If not defined, everyone is allowed to use the bot (so you should really define this)
+# If not defined, everyone is allowed to use the bot
 # Use the "*:homeserver.matrix" syntax to allow everyone on a given homeserver
-# Alternatively, you can also specify a room ID to allow everyone in the room to use the bot within that room
 #
-# AllowedUsers = ["*:matrix.local", "!roomid:matrix.local"]
+# AllowedUsers = ["*:matrix.local"]
 
 # Minimum level of log messages that should be printed
 # Available log levels in ascending order: trace, debug, info, warning, error, critical
@@ -63,20 +62,20 @@ LogLevel = info
 
 # The Chat Completion model you want to use.
 #
-# Model = gpt-4o
+# Unless you are in the GPT-4 beta (if you don't know - you aren't),
+# leave this as the default value (gpt-3.5-turbo)
+#
+# Model = gpt-3.5-turbo
 
 # The Image Generation model you want to use.
 #
-# ImageModel = dall-e-3
+# ImageModel = dall-e-2
 
 # Your OpenAI API key
 #
 # Find this in your OpenAI account:
 # https://platform.openai.com/account/api-keys 
 #
-# This may not be required for self-hosted models – in that case, just leave it
-# as it is.
-#
 APIKey = sk-yoursecretkey
 
 # The maximum amount of input sent to the API
@@ -101,26 +100,17 @@ APIKey = sk-yoursecretkey
 # The base URL of the OpenAI API
 #
 # Setting this allows you to use a self-hosted AI model for chat completions
-# using something like llama-cpp-python or ollama
+# using something like https://github.com/abetlen/llama-cpp-python
 #
-# BaseURL = https://api.openai.com/v1/
+# BaseURL = https://openai.local/v1
 
 # Whether to force the use of tools in the chat completion model
 #
-# This will make the bot allow the use of tools in the chat completion model,
-# even if the model you are using isn't known to support tools. This is useful
-# if you are using a self-hosted model that supports tools, but the bot doesn't
-# know about it.
+# Currently, only gpt-3.5-turbo supports tools. If you set this to 1, the bot
+# will use that model for tools even if you have a different model set as the
+# default. It will only generate the final result using the default model.
 #
-# ForceTools = 1
-
-# Whether a dedicated model should be used for tools
-#
-# This will make the bot use a dedicated model for tools. This is useful if you
-# want to use a model that doesn't support tools, but still want to be able to
-# use tools.
-#
-# ToolModel = gpt-4o
+# ForceTools = 0
 
 # Whether to emulate tools in the chat completion model
 #
@@ -130,50 +120,6 @@ APIKey = sk-yoursecretkey
 #
 # EmulateTools = 0
 
-# Force vision in the chat completion model
-#
-# By default, the bot only supports image recognition in known vision models.
-# If you set this to 1, the bot will assume that the model you're using supports
-# vision, and will send images to the model as well. This may be required for
-# some self-hosted models.
-#
-# ForceVision = 0
-
-# Maximum width and height of images sent to the API if vision is enabled
-#
-# The OpenAI API has a limit of 2000 pixels for the long side of an image, and 
-# 768 pixels for the short side. You may have to adjust these values if you're
-# using a self-hosted model that has different limits. You can also set these
-# to 0 to disable image resizing.
-#
-# MaxImageLongSide = 2000
-# MaxImageShortSide = 768
-
-# Whether the used model supports video files as input
-#
-# If you are using a model that supports video files as input, set this to 1.
-# This will make the bot send video files to the model as well as images.
-# This may be possible with some self-hosted models, but is not supported by
-# the OpenAI API at this time.
-#
-# ForceVideoInput = 0
-
-# Advanced settings for the OpenAI API
-#
-# These settings are not required for normal operation, but can be used to
-# tweak the behavior of the bot.
-#
-# Note: These settings are not validated by the bot, so make sure they are
-# correct before setting them, or the bot may not work as expected.
-#
-# For more information, see the OpenAI documentation:
-# https://platform.openai.com/docs/api-reference/chat/create
-#
-# Temperature = 1
-# TopP = 1
-# FrequencyPenalty = 0
-# PresencePenalty = 0
-
 ###############################################################################
 
 [WolframAlpha]
@@ -197,23 +143,17 @@ APIKey = sk-yoursecretkey
 Homeserver = https://matrix.local
 
 # An Access Token for the user your bot runs as
+# Can be obtained using a request like this:
 #
 # See https://www.matrix.org/docs/guides/client-server-api#login
 # for information on how to obtain this value
 #
 AccessToken = syt_yoursynapsetoken
 
-# Instead of an Access Token, you can also use a User ID and password
-# to log in. Upon first run, the bot will automatically turn this into
-# an Access Token and store it in the config file, and remove the
-# password from the config file.
-#
-# This is particularly useful if you are using Pantalaimon, where this
-# is the only (easy) way to generate an Access Token.
+# The Matrix user ID of the bot (@local:domain.tld)
+# Only specify this if the bot fails to figure it out by itself
 #
 # UserID = @gptbot:matrix.local
-# Password = yourpassword
-
 
 ###############################################################################
 
@@ -224,6 +164,11 @@ AccessToken = syt_yoursynapsetoken
 #
 Path = database.db
 
+# Path of the Crypto Store - required to support encrypted rooms
+# (not tested/supported yet)
+#
+CryptoStore = store.db
+
 ###############################################################################
 
 [TrackingMore]
@@ -235,6 +180,26 @@ Path = database.db
 
 ###############################################################################
 
+[Replicate]
+
+# API key for replicate.com
+# Can be used to run lots of different AI models
+# If not defined, the features that depend on it are not available
+#
+# APIKey = r8_alotoflettersandnumbershere
+
+###############################################################################
+
+[HuggingFace]
+
+# API key for Hugging Face
+# Can be used to run lots of different AI models
+# If not defined, the features that depend on it are not available
+#
+# APIKey = __________________________
+
+###############################################################################
+
 [OpenWeatherMap]
 
 # API key for OpenWeatherMap

contrib/pantalaimon.example.conf

@@ -1,7 +0,0 @@
-[Homeserver]
-Homeserver = https://example.com
-ListenAddress = localhost
-ListenPort = 8009
-IgnoreVerification = True
-LogLevel = debug
-UseKeyring = no

docker-compose.yml

@@ -1,15 +0,0 @@
-version: '3.8'
-
-services:
-  gptbot:
-    image: kumitterer/matrix-gptbot
-    volumes:
-      - ./config.ini:/app/config.ini
-      - ./database.db:/app/database.db
-
-  pantalaimon:
-    image: matrixdotorg/pantalaimon
-    volumes:
-      - ./pantalaimon.conf:/etc/pantalaimon/pantalaimon.conf
-    ports:
-      - "8009:8009"

pantalaimon.example.conf

@@ -0,0 +1,5 @@
+[Homeserver]
+Homeserver = https://example.com
+ListenAddress = localhost
+ListenPort = 8010
+IgnoreVerification = True

pyproject.toml

@@ -7,51 +7,63 @@ allow-direct-references = true
 
 [project]
 name = "matrix-gptbot"
-version = "0.3.20"
+version = "0.3.9.dev0"
 
 authors = [
-  { name = "Kumi", email = "gptbot@kumi.email" },
-  { name = "Private.coffee Team", email = "support@private.coffee" },
+  { name="Kumi Mitterer", email="gptbot@kumi.email" },
+  { name="Private.coffee Team", email="support@private.coffee" },
 ]
 
 description = "Multifunctional Chatbot for Matrix"
 readme = "README.md"
-license = { file = "LICENSE" }
+license = { file="LICENSE" }
 requires-python = ">=3.10"
 
-packages = ["src/gptbot"]
+packages = [
+    "src/gptbot"
+]
 
 classifiers = [
-  "Programming Language :: Python :: 3",
-  "License :: OSI Approved :: MIT License",
-  "Operating System :: OS Independent",
+    "Programming Language :: Python :: 3",
+    "License :: OSI Approved :: MIT License",
+    "Operating System :: OS Independent",
 ]
 
 dependencies = [
-  "matrix-nio[e2e]>=0.24.0",
-  "markdown2[all]",
-  "tiktoken",
-  "python-magic",
-  "pillow",
-  "future>=1.0.0",
-]
+    "matrix-nio[e2e]",
+    "markdown2[all]",
+    "tiktoken",
+    "python-magic",
+    "pillow",
+    ]
 
 [project.optional-dependencies]
-openai = ["openai>=1.2", "pydub"]
+openai = [
+    "openai>=1.2",
+    "pydub",
+]
 
-google = ["google-generativeai"]
+wolframalpha = [
+    "wolframalpha",
+]
 
-wolframalpha = ["wolframalpha"]
-
-trackingmore = ["trackingmore-api-tool"]
+e2ee = [
+    "pantalaimon>=0.10.5",
+]
 
 all = [
-  "matrix-gptbot[openai,wolframalpha,trackingmore,google]",
+  "matrix-gptbot[openai,wolframalpha,e2ee]",
   "geopy",
   "beautifulsoup4",
 ]
 
-dev = ["matrix-gptbot[all]", "black", "hatchling", "twine", "build", "ruff"]
+dev = [
+  "matrix-gptbot[all]",
+  "black",
+  "hatchling",
+  "twine",
+  "build",
+]
 
 [project.urls]
 "Homepage" = "https://git.private.coffee/privatecoffee/matrix-gptbot"
@@ -59,7 +71,7 @@ dev = ["matrix-gptbot[all]", "black", "hatchling", "twine", "build", "ruff"]
 "Source Code" = "https://git.private.coffee/privatecoffee/matrix-gptbot"
 
 [project.scripts]
-gptbot = "gptbot.__main__:main_sync"
+gptbot = "gptbot.__main__:main"
 
 [tool.hatch.build.targets.wheel]
-packages = ["src/gptbot"]
+packages = ["src/gptbot"]

src/gptbot/__main__.py

@@ -5,22 +5,19 @@ from configparser import ConfigParser
 
 import signal
 import asyncio
-import importlib.metadata
-
+import pkg_resources
 
 def sigterm_handler(_signo, _stack_frame):
     exit()
 
-
 def get_version():
     try:
-        package_version = importlib.metadata.version("matrix_gptbot")
-    except Exception:
+        package_version = pkg_resources.get_distribution("matrix_gptbot").version
+    except pkg_resources.DistributionNotFound:
         return None
     return package_version
 
-
-async def main():
+def main():
     # Parse command line arguments
     parser = ArgumentParser()
     parser.add_argument(
@@ -43,28 +40,19 @@ async def main():
     config.read(args.config)
 
     # Create bot
-    bot, new_config = await GPTBot.from_config(config)
-
-    # Update config with new values
-    if new_config:
-        with open(args.config, "w") as configfile:
-            new_config.write(configfile)
+    bot = GPTBot.from_config(config)
 
     # Listen for SIGTERM
     signal.signal(signal.SIGTERM, sigterm_handler)
 
     # Start bot
     try:
-        await bot.run()
+        asyncio.run(bot.run())
     except KeyboardInterrupt:
         print("Received KeyboardInterrupt - exiting...")
     except SystemExit:
         print("Received SIGTERM - exiting...")
 
 
-def main_sync():
-    asyncio.run(main())
-
-
 if __name__ == "__main__":
-    main_sync()
+    main()

src/gptbot/callbacks/__init__.py

@@ -1,24 +1,32 @@
 from nio import (
     RoomMessageText,
     InviteEvent,
+    Event,
     SyncResponse,
     JoinResponse,
     RoomMemberEvent,
+    Response,
+    MegolmEvent,
+    KeysQueryResponse
 )
 
+from .test import test_callback
 from .sync import sync_callback
 from .invite import room_invite_callback
 from .join import join_callback
 from .message import message_callback
 from .roommember import roommember_callback
+from .test_response import test_response_callback
 
 RESPONSE_CALLBACKS = {
+    #Response: test_response_callback,
     SyncResponse: sync_callback,
     JoinResponse: join_callback,
 }
 
 EVENT_CALLBACKS = {
+    #Event: test_callback,
     InviteEvent: room_invite_callback,
     RoomMessageText: message_callback,
     RoomMemberEvent: roommember_callback,
-}
+}

src/gptbot/callbacks/invite.py

@@ -2,9 +2,9 @@ from nio import InviteEvent, MatrixRoom
 
 async def room_invite_callback(room: MatrixRoom, event: InviteEvent, bot):
     if room.room_id in bot.matrix_client.rooms:
-        bot.logger.log(f"Already in room {room.room_id} - ignoring invite")
+        logging(f"Already in room {room.room_id} - ignoring invite")
         return
 
     bot.logger.log(f"Received invite to room {room.room_id} - joining...")
 
-    await bot.matrix_client.join(room.room_id)
+    response = await bot.matrix_client.join(room.room_id)

src/gptbot/callbacks/join.py

@@ -8,12 +8,12 @@ async def join_callback(response, bot):
 
     with closing(bot.database.cursor()) as cursor:
         cursor.execute(
-            "SELECT space_id FROM user_spaces WHERE user_id = ? AND active = TRUE", (response.sender,))
+            "SELECT space_id FROM user_spaces WHERE user_id = ? AND active = TRUE", (event.sender,))
         space = cursor.fetchone()
 
     if space:
         bot.logger.log(f"Adding new room to space {space[0]}...")
-        await bot.add_rooms_to_space(space[0], [response.room_id])
+        await bot.add_rooms_to_space(space[0], [new_room.room_id])
 
     bot.matrix_client.keys_upload()
 

src/gptbot/callbacks/roommember.py

@@ -1,4 +1,4 @@
-from nio import RoomMemberEvent, MatrixRoom
+from nio import RoomMemberEvent, MatrixRoom, KeysUploadError
 
 async def roommember_callback(room: MatrixRoom, event: RoomMemberEvent, bot):
     if event.membership == "leave":

src/gptbot/callbacks/test.py

@@ -0,0 +1,11 @@
+from nio import MatrixRoom, Event
+
+async def test_callback(room: MatrixRoom, event: Event, bot):
+    """Test callback for debugging purposes.
+
+    Args:
+        room (MatrixRoom): The room the event was sent in.
+        event (Event): The event that was sent.
+    """
+
+    bot.logger.log(f"Test callback called: {room.room_id} {event.event_id} {event.sender} {event.__class__}")

src/gptbot/callbacks/test_response.py

@@ -0,0 +1,11 @@
+from nio import ErrorResponse
+
+
+async def test_response_callback(response, bot):
+    if isinstance(response, ErrorResponse):
+        bot.logger.log(
+            f"Error response received ({response.__class__.__name__}): {response.message}",
+            "warning",
+        )
+    else:
+        bot.logger.log(f"{response.__class__} response received", "debug")

src/gptbot/classes/ai/base.py

@@ -1,76 +0,0 @@
-from ...classes.logging import Logger
-
-import asyncio
-from functools import partial
-from typing import Any, AsyncGenerator, Dict, Optional, Mapping
-
-from nio import Event
-
-
-class AttributeDictionary(dict):
-    def __init__(self, *args, **kwargs):
-        super(AttributeDictionary, self).__init__(*args, **kwargs)
-        self.__dict__ = self
-
-
-class BaseAI:
-    bot: Any
-    logger: Logger
-
-    def __init__(self, bot, config: Mapping, logger: Optional[Logger] = None):
-        self.bot = bot
-        self.logger = logger or bot.logger or Logger()
-        self._config = config
-
-    @property
-    def chat_api(self) -> str:
-        return self.chat_model
-
-    async def prepare_messages(
-        self, event: Event, messages: list[Any], system_message: Optional[str] = None
-    ) -> list[Any]:
-        """A helper method to prepare messages for the AI.
-
-        This converts a list of Matrix messages into whatever format the AI requires.
-
-        Args:
-            event (Event): The event that triggered the message generation. Generally a text message from a user.
-            messages (list[Dict[str, str]]): The messages to prepare. Generally of type RoomMessage*.
-            system_message (Optional[str], optional): A system message to include. Defaults to None.
-
-        Returns:
-            list[Any]: The prepared messages in the format the AI requires.
-
-        Raises:
-            NotImplementedError: If the method is not implemented in the subclass.
-        """
-
-        raise NotImplementedError(
-            "Implementations of BaseAI must implement prepare_messages."
-        )
-
-    async def _request_with_retries(
-        self, request: partial, attempts: int = 5, retry_interval: int = 2
-    ) -> AsyncGenerator[Any | list | Dict, None]:
-        """Retry a request a set number of times if it fails.
-
-        Args:
-            request (partial): The request to make with retries.
-            attempts (int, optional): The number of attempts to make. Defaults to 5.
-            retry_interval (int, optional): The interval in seconds between attempts. Defaults to 2 seconds.
-
-        Returns:
-            AsyncGenerator[Any | list | Dict, None]: The response for the request.
-        """
-        current_attempt = 1
-        while current_attempt <= attempts:
-            try:
-                response = await request()
-                return response
-            except Exception as e:
-                self.logger.log(f"Request failed: {e}", "error")
-                self.logger.log(f"Retrying in {retry_interval} seconds...")
-                await asyncio.sleep(retry_interval)
-                current_attempt += 1
-
-        raise Exception("Request failed after all attempts.")

src/gptbot/classes/ai/google.py

@@ -1,73 +0,0 @@
-from .base import BaseAI
-from ..logging import Logger
-
-from typing import Optional, Mapping, List, Dict, Tuple
-
-import google.generativeai as genai
-
-
-class GeminiAI(BaseAI):
-    api_code: str = "google"
-
-    @property
-    def chat_api(self) -> str:
-        return self.chat_model
-
-    google_api: genai.GenerativeModel
-
-    operator: str = "Google (https://ai.google)"
-
-    def __init__(
-        self,
-        bot,
-        config: Mapping,
-        logger: Optional[Logger] = None,
-    ):
-        super().__init__(bot, config, logger)
-        genai.configure(api_key=self.api_key)
-        self.gemini_api = genai.GenerativeModel(self.chat_model)
-
-    @property
-    def api_key(self):
-        return self._config["APIKey"]
-
-    @property
-    def chat_model(self):
-        return self._config.get("Model", fallback="gemini-pro")
-
-    def prepare_messages(event, messages: List[Dict[str, str]], ) -> List[str]:
-        return [message["content"] for message in messages]
-
-    async def generate_chat_response(
-        self,
-        messages: List[Dict[str, str]],
-        user: Optional[str] = None,
-        room: Optional[str] = None,
-        use_tools: bool = True,
-        model: Optional[str] = None,
-    ) -> Tuple[str, int]:
-        """Generate a response to a chat message.
-
-        Args:
-            messages (List[Dict[str, str]]): A list of messages to use as context.
-            user (Optional[str], optional): The user to use the assistant for. Defaults to None.
-            room (Optional[str], optional): The room to use the assistant for. Defaults to None.
-            use_tools (bool, optional): Whether to use tools. Defaults to True.
-            model (Optional[str], optional): The model to use. Defaults to None, which uses the default chat model.
-
-        Returns:
-            Tuple[str, int]: The response text and the number of tokens used.
-        """
-        self.logger.log(
-            f"Generating response to {len(messages)} messages for user {user} in room {room}..."
-        )
-
-        messages = self.prepare_messages(messages)
-
-        return self.gemini_api.generate_content(
-            messages=messages,
-            user=user,
-            room=room,
-            use_tools=use_tools,
-            model=model,
-        )

src/gptbot/classes/bot.py

@@ -1,6 +1,7 @@
 import markdown2
 import tiktoken
 import asyncio
+import functools
 
 from PIL import Image
 
@@ -14,6 +15,8 @@ from nio import (
     MatrixRoom,
     Api,
     RoomMessagesError,
+    GroupEncryptionError,
+    EncryptionError,
     RoomMessageText,
     RoomSendResponse,
     SyncResponse,
@@ -24,34 +27,42 @@ from nio import (
     RoomVisibility,
     RoomCreateError,
     RoomMessageMedia,
+    RoomMessageImage,
+    RoomMessageFile,
+    RoomMessageAudio,
     DownloadError,
+    DownloadResponse,
+    ToDeviceEvent,
+    ToDeviceError,
     RoomGetStateError,
-    DiskDownloadResponse,
-    MemoryDownloadResponse,
-    LoginError,
 )
 from nio.store import SqliteStore
 
 
-from typing import Optional, List, Any, Union
+from typing import Optional, List
 from configparser import ConfigParser
 from datetime import datetime
 from io import BytesIO
 from pathlib import Path
 from contextlib import closing
 
+import base64
 import uuid
 import traceback
 import json
+import importlib.util
+import sys
 import sqlite3
+import traceback
 
 from .logging import Logger
 from ..migrations import migrate
 from ..callbacks import RESPONSE_CALLBACKS, EVENT_CALLBACKS
 from ..commands import COMMANDS
 from ..tools import TOOLS, Handover, StopProcessing
-from .ai.base import BaseAI
-from .exceptions import DownloadException
+from .openai import OpenAI
+from .wolframalpha import WolframAlpha
+from .trackingmore import TrackingMore
 
 
 class GPTBot:
@@ -61,13 +72,12 @@ class GPTBot:
     matrix_client: Optional[AsyncClient] = None
     sync_token: Optional[str] = None
     logger: Optional[Logger] = Logger()
-    chat_api: Optional[BaseAI] = None
-    image_api: Optional[BaseAI] = None
-    classification_api: Optional[BaseAI] = None
-    tts_api: Optional[BaseAI] = None
-    stt_api: Optional[BaseAI] = None
-    parcel_api: Optional[Any] = None
-    calculation_api: Optional[Any] = None
+    chat_api: Optional[OpenAI] = None
+    image_api: Optional[OpenAI] = None
+    classification_api: Optional[OpenAI] = None
+    tts_api: Optional[OpenAI] = None
+    stt_api: Optional[OpenAI] = None
+    parcel_api: Optional[TrackingMore] = None
     room_ignore_list: List[str] = []  # List of rooms to ignore invites from
     logo: Optional[Image.Image] = None
     logo_uri: Optional[str] = None
@@ -84,7 +94,7 @@ class GPTBot:
         """
         try:
             return json.loads(self.config["GPTBot"]["AllowedUsers"])
-        except Exception:
+        except:
             return []
 
     @property
@@ -126,6 +136,26 @@ class GPTBot:
         """
         return self.config["GPTBot"].getboolean("ForceSystemMessage", False)
 
+    @property
+    def max_tokens(self) -> int:
+        """Maximum number of input tokens.
+
+        Returns:
+            int: The maximum number of input tokens. Defaults to 3000.
+        """
+        return self.config["OpenAI"].getint("MaxTokens", 3000)
+        # TODO: Move this to OpenAI class
+
+    @property
+    def max_messages(self) -> int:
+        """Maximum number of messages to consider as input.
+
+        Returns:
+            int: The maximum number of messages to consider as input. Defaults to 30.
+        """
+        return self.config["OpenAI"].getint("MaxMessages", 30)
+        # TODO: Move this to OpenAI class
+
     @property
     def operator(self) -> Optional[str]:
         """Operator of the bot.
@@ -168,7 +198,7 @@ class GPTBot:
     USER_AGENT = "matrix-gptbot/dev (+https://kumig.it/kumitterer/matrix-gptbot)"
 
     @classmethod
-    async def from_config(cls, config: ConfigParser):
+    def from_config(cls, config: ConfigParser):
         """Create a new GPTBot instance from a config file.
 
         Args:
@@ -200,70 +230,44 @@ class GPTBot:
             if Path(bot.logo_path).exists() and Path(bot.logo_path).is_file():
                 bot.logo = Image.open(bot.logo_path)
 
-        # Set up OpenAI
-        assert (
-            "OpenAI" in config
-        ), "OpenAI config not found"  # TODO: Update this to support other providers
+        bot.chat_api = bot.image_api = bot.classification_api = bot.tts_api = (
+            bot.stt_api
+        ) = OpenAI(
+            bot=bot,
+            api_key=config["OpenAI"]["APIKey"],
+            chat_model=config["OpenAI"].get("Model"),
+            image_model=config["OpenAI"].get("ImageModel"),
+            tts_model=config["OpenAI"].get("TTSModel"),
+            stt_model=config["OpenAI"].get("STTModel"),
+            base_url=config["OpenAI"].get("BaseURL"),
+        )
 
-        from .ai.openai import OpenAI
-
-        openai_api = OpenAI(bot=bot, config=config["OpenAI"])
-
-        if "Model" in config["OpenAI"]:
-            bot.chat_api = openai_api
-            bot.classification_api = openai_api
-
-        if "ImageModel" in config["OpenAI"]:
-            bot.image_api = openai_api
-
-        if "TTSModel" in config["OpenAI"]:
-            bot.tts_api = openai_api
-
-        if "STTModel" in config["OpenAI"]:
-            bot.stt_api = openai_api
+        if "BaseURL" in config["OpenAI"]:
+            bot.chat_api.base_url = config["OpenAI"]["BaseURL"]
+            bot.image_api = None
 
         # Set up WolframAlpha
         if "WolframAlpha" in config:
-            from .wolframalpha import WolframAlpha
-
             bot.calculation_api = WolframAlpha(
                 config["WolframAlpha"]["APIKey"], bot.logger
             )
 
         # Set up TrackingMore
         if "TrackingMore" in config:
-            from .trackingmore import TrackingMore
-
             bot.parcel_api = TrackingMore(config["TrackingMore"]["APIKey"], bot.logger)
 
         # Set up the Matrix client
+
         assert "Matrix" in config, "Matrix config not found"
 
         homeserver = config["Matrix"]["Homeserver"]
+        bot.matrix_client = AsyncClient(homeserver)
+        bot.matrix_client.access_token = config["Matrix"]["AccessToken"]
+        bot.matrix_client.user_id = config["Matrix"].get("UserID")
+        bot.matrix_client.device_id = config["Matrix"].get("DeviceID")
 
-        if config.get("Matrix", "Password", fallback=""):
-            if not config.get("Matrix", "UserID", fallback=""):
-                raise Exception("Cannot log in: UserID not set in config")
-
-            bot.matrix_client = AsyncClient(homeserver, user=config["Matrix"]["UserID"])
-            login = await bot.matrix_client.login(password=config["Matrix"]["Password"])
-
-            if isinstance(login, LoginError):
-                raise Exception(f"Could not log in: {login.message}")
-
-            config["Matrix"]["AccessToken"] = bot.matrix_client.access_token
-            config["Matrix"]["DeviceID"] = bot.matrix_client.device_id
-            config["Matrix"]["Password"] = ""
-
-        else:
-            bot.matrix_client = AsyncClient(homeserver)
-
-            bot.matrix_client.access_token = config["Matrix"]["AccessToken"]
-            bot.matrix_client.user_id = config["Matrix"].get("UserID")
-            bot.matrix_client.device_id = config["Matrix"].get("DeviceID")
-
-        # Return the new GPTBot instance and the (potentially modified) config
-        return bot, config
+        # Return the new GPTBot instance
+        return bot
 
     async def _get_user_id(self) -> str:
         """Get the user ID of the bot from the whoami endpoint.
@@ -296,7 +300,7 @@ class GPTBot:
         ignore_notices: bool = True,
     ):
         messages = []
-        n = n or self.chat_api.max_messages
+        n = n or self.max_messages
         room_id = room.room_id if isinstance(room, MatrixRoom) else room
 
         self.logger.log(
@@ -323,13 +327,7 @@ class GPTBot:
                 try:
                     event_type = event.source["content"]["msgtype"]
                 except KeyError:
-                    if event.__class__.__name__ in ("RoomMemberEvent",):
-                        self.logger.log(
-                            f"Ignoring event of type {event.__class__.__name__}",
-                            "debug",
-                        )
-                        continue
-                    self.logger.log(f"Could not process event: {event}", "warning")
+                    self.logger.log(f"Could not process event: {event}", "debug")
                     continue  # This is most likely not a message event
 
             if event_type.startswith("gptbot"):
@@ -358,6 +356,56 @@ class GPTBot:
         # Reverse the list so that messages are in chronological order
         return messages[::-1]
 
+    def _truncate(
+        self,
+        messages: list,
+        max_tokens: Optional[int] = None,
+        model: Optional[str] = None,
+        system_message: Optional[str] = None,
+    ):
+        max_tokens = max_tokens or self.max_tokens
+        model = model or self.chat_api.chat_model
+        system_message = (
+            self.default_system_message if system_message is None else system_message
+        )
+
+        encoding = tiktoken.encoding_for_model(model)
+        total_tokens = 0
+
+        system_message_tokens = (
+            0 if not system_message else (len(encoding.encode(system_message)) + 1)
+        )
+
+        if system_message_tokens > max_tokens:
+            self.logger.log(
+                f"System message is too long to fit within token limit ({system_message_tokens} tokens) - cannot proceed",
+                "error",
+            )
+            return []
+
+        total_tokens += system_message_tokens
+
+        total_tokens = len(system_message) + 1
+        truncated_messages = []
+
+        for message in [messages[0]] + list(reversed(messages[1:])):
+            content = (
+                message["content"]
+                if isinstance(message["content"], str)
+                else (
+                    message["content"][0]["text"]
+                    if isinstance(message["content"][0].get("text"), str)
+                    else ""
+                )
+            )
+            tokens = len(encoding.encode(content)) + 1
+            if total_tokens + tokens > max_tokens:
+                break
+            total_tokens += tokens
+            truncated_messages.append(message)
+
+        return [truncated_messages[0]] + list(reversed(truncated_messages[1:]))
+
     async def _get_device_id(self) -> str:
         """Guess the device ID of the bot.
         Requires an access token to be set up.
@@ -410,7 +458,7 @@ class GPTBot:
         except (Handover, StopProcessing):
             raise
 
-        except KeyError:
+        except KeyError as e:
             self.logger.log(f"Tool {tool} not found", "error")
             return "Error: Tool not found"
 
@@ -488,31 +536,13 @@ class GPTBot:
         return (
             (
                 user_id in self.allowed_users
-                or (
-                    (
-                        f"*:{user_id.split(':')[1]}" in self.allowed_users
-                        or f"@*:{user_id.split(':')[1]}" in self.allowed_users
-                    )
-                    if not user_id.startswith("!") or user_id.startswith("#")
-                    else False
-                )
+                or f"*:{user_id.split(':')[1]}" in self.allowed_users
+                or f"@*:{user_id.split(':')[1]}" in self.allowed_users
             )
             if self.allowed_users
             else True
         )
 
-    def room_is_allowed(self, room_id: str) -> bool:
-        """Check if everyone in a room is allowed to use the bot.
-
-        Args:
-            room_id (str): The room ID to check.
-
-        Returns:
-            bool: Whether everyone in the room is allowed to use the bot.
-        """
-        # TODO: Handle published aliases
-        return self.user_is_allowed(room_id)
-
     async def event_callback(self, room: MatrixRoom, event: Event):
         """Callback for events.
 
@@ -524,9 +554,7 @@ class GPTBot:
         if event.sender == self.matrix_client.user_id:
             return
 
-        if not (
-            self.user_is_allowed(event.sender) or self.room_is_allowed(room.room_id)
-        ):
+        if not self.user_is_allowed(event.sender):
             if len(room.users) == 2:
                 await self.matrix_client.room_send(
                     room.room_id,
@@ -538,7 +566,7 @@ class GPTBot:
                 )
             return
 
-        asyncio.create_task(self._event_callback(room, event))
+        task = asyncio.create_task(self._event_callback(room, event))
 
     def room_uses_timing(self, room: MatrixRoom):
         """Check if a room uses timing.
@@ -566,7 +594,7 @@ class GPTBot:
                 await callback(response, self)
 
     async def response_callback(self, response: Response):
-        asyncio.create_task(self._response_callback(response))
+        task = asyncio.create_task(self._response_callback(response))
 
     async def accept_pending_invites(self):
         """Accept all pending invites."""
@@ -673,7 +701,7 @@ class GPTBot:
             "url": content_uri,
         }
 
-        await self.matrix_client.room_send(room, "m.room.message", content)
+        status = await self.matrix_client.room_send(room, "m.room.message", content)
 
         self.logger.log("Sent image", "debug")
 
@@ -707,7 +735,7 @@ class GPTBot:
             "url": content_uri,
         }
 
-        await self.matrix_client.room_send(room, "m.room.message", content)
+        status = await self.matrix_client.room_send(room, "m.room.message", content)
 
         self.logger.log("Sent file", "debug")
 
@@ -1100,10 +1128,7 @@ class GPTBot:
                 return
 
         try:
-            last_messages = await self._last_n_messages(
-                room.room_id, self.chat_api.max_messages
-            )
-            self.logger.log(f"Last messages: {last_messages}", "debug")
+            last_messages = await self._last_n_messages(room.room_id, self.max_messages)
         except Exception as e:
             self.logger.log(f"Error getting last messages: {e}", "error")
             await self.send_message(
@@ -1113,8 +1138,141 @@ class GPTBot:
 
         system_message = self.get_system_message(room)
 
-        chat_messages = await self.chat_api.prepare_messages(
-            event, last_messages, system_message
+        chat_messages = [{"role": "system", "content": system_message}]
+
+        last_messages = last_messages + [event]
+
+        for message in last_messages:
+            if isinstance(message, (RoomMessageNotice, RoomMessageText)):
+                role = (
+                    "assistant"
+                    if message.sender == self.matrix_client.user_id
+                    else "user"
+                )
+                if message == event or (not message.event_id == event.event_id):
+                    message_body = (
+                        message.body
+                        if not self.chat_api.supports_chat_images()
+                        else [{"type": "text", "text": message.body}]
+                    )
+                    chat_messages.append({"role": role, "content": message_body})
+
+            elif isinstance(message, RoomMessageAudio) or (
+                isinstance(message, RoomMessageFile) and message.body.endswith(".mp3")
+            ):
+                role = (
+                    "assistant"
+                    if message.sender == self.matrix_client.user_id
+                    else "user"
+                )
+                if message == event or (not message.event_id == event.event_id):
+                    if self.room_uses_stt(room):
+                        try:
+                            download = await self.download_file(message.url)
+                            message_text = await self.stt_api.speech_to_text(
+                                download.body
+                            )
+                        except Exception as e:
+                            self.logger.log(
+                                f"Error generating text from audio: {e}", "error"
+                            )
+                            message_text = message.body
+                    else:
+                        message_text = message.body
+
+                    message_body = (
+                        message_text
+                        if not self.chat_api.supports_chat_images()
+                        else [{"type": "text", "text": message_text}]
+                    )
+                    chat_messages.append({"role": role, "content": message_body})
+
+            elif isinstance(message, RoomMessageFile):
+                try:
+                    download = await self.download_file(message.url)
+                    if download:
+                        try:
+                            text = download.body.decode("utf-8")
+                        except UnicodeDecodeError:
+                            text = None
+
+                        if text:
+                            role = (
+                                "assistant"
+                                if message.sender == self.matrix_client.user_id
+                                else "user"
+                            )
+                            if message == event or (
+                                not message.event_id == event.event_id
+                            ):
+                                message_body = (
+                                    text
+                                    if not self.chat_api.supports_chat_images()
+                                    else [{"type": "text", "text": text}]
+                                )
+                                chat_messages.append(
+                                    {"role": role, "content": message_body}
+                                )
+
+                except Exception as e:
+                    self.logger.log(f"Error generating text from file: {e}", "error")
+                    message_body = (
+                        message.body
+                        if not self.chat_api.supports_chat_images()
+                        else [{"type": "text", "text": message.body}]
+                    )
+                    chat_messages.append({"role": "system", "content": message_body})
+
+            elif self.chat_api.supports_chat_images() and isinstance(
+                message, RoomMessageImage
+            ):
+                try:
+                    image_url = message.url
+                    download = await self.download_file(image_url)
+
+                    if download:
+                        encoded_url = f"data:{download.content_type};base64,{base64.b64encode(download.body).decode('utf-8')}"
+                        parent = (
+                            chat_messages[-1]
+                            if chat_messages
+                            and chat_messages[-1]["role"]
+                            == (
+                                "assistant"
+                                if message.sender == self.matrix_client.user_id
+                                else "user"
+                            )
+                            else None
+                        )
+
+                        if not parent:
+                            chat_messages.append(
+                                {
+                                    "role": (
+                                        "assistant"
+                                        if message.sender == self.matrix_client.user_id
+                                        else "user"
+                                    ),
+                                    "content": [],
+                                }
+                            )
+                            parent = chat_messages[-1]
+
+                        parent["content"].append(
+                            {"type": "image_url", "image_url": {"url": encoded_url}}
+                        )
+
+                except Exception as e:
+                    self.logger.log(f"Error generating image from file: {e}", "error")
+                    message_body = (
+                        message.body
+                        if not self.chat_api.supports_chat_images()
+                        else [{"type": "text", "text": message.body}]
+                    )
+                    chat_messages.append({"role": "system", "content": message_body})
+
+        # Truncate messages to fit within the token limit
+        truncated_messages = self._truncate(
+            chat_messages[1:], self.max_tokens - 1, system_message=system_message
         )
 
         # Check for a model override
@@ -1159,19 +1317,23 @@ class GPTBot:
                     await self.send_message(
                         room, "Something went wrong generating audio file.", True
                     )
-                    
-                    if self.debug:
-                        await self.send_message(
-                            room, f"Error: {e}\n\n```\n{traceback.format_exc()}\n```", True
-                        )
 
-            await self.send_message(room, response)
+            message = await self.send_message(room, response)
+
+        # Set room name
+
+        if self.generate_room_name and room.name == self.default_room_name:
+            try:
+                name = await self.generate_room_name(room)
+                await self.matrix_client.room_put_state(
+                    room.room_id, "m.room.name", {"name": name}, ""
+                )
+            except Exception as e:
+                self.logger.log(f"Error generating room name: {e}", "error")
 
         await self.matrix_client.room_typing(room.room_id, False)
 
-    async def download_file(
-        self, mxc: str, raise_error: bool = False
-    ) -> Union[DiskDownloadResponse, MemoryDownloadResponse]:
+    async def download_file(self, mxc) -> Optional[bytes]:
         """Download a file from the homeserver.
 
         Args:
@@ -1185,12 +1347,52 @@ class GPTBot:
 
         if isinstance(download, DownloadError):
             self.logger.log(f"Error downloading file: {download.message}", "error")
-            if raise_error:
-                raise DownloadException(download.message)
             return
 
         return download
 
+    async def generate_room_name(self, room: MatrixRoom | str) -> str:
+        """Generate a name for a room.
+
+        Args:
+            room (MatrixRoom | str): The room to generate a name for.
+
+        Returns:
+            str: The generated name.
+        """
+
+        if isinstance(room, MatrixRoom):
+            room = room.room_id
+
+        prompt = f"Generate a short, descriptive name for this conversation. It should start with '{self.default_room_name}:' and be no more than 50 characters long. Return only the name, without any additional text."
+
+        messages = await self._last_n_messages(room, 2)
+
+        chat_messages = [[{"role": "system", "content": prompt}]]
+
+        for message in messages:
+            if isinstance(message, (RoomMessageNotice, RoomMessageText)):
+                role = (
+                    "assistant"
+                    if message.sender == self.matrix_client.user_id
+                    else "user"
+                )
+                message_body = (
+                    message.body
+                    if not self.chat_api.supports_chat_images()
+                    else [{"type": "text", "text": message.body}]
+                )
+                chat_messages.append({"role": role, "content": message_body})
+
+        response, tokens_used = await self.chat_api.generate_chat_response(
+            chat_messages,
+            room=room,
+            allow_override=False,
+            use_tools=False,
+        )
+
+        return response
+
     def get_system_message(self, room: MatrixRoom | str) -> str:
         """Get the system message for a room.
 

src/gptbot/classes/exceptions.py

@@ -1,2 +0,0 @@
-class DownloadException(Exception):
-    pass

src/gptbot/classes/openai.py

@@ -2,30 +2,20 @@ import openai
 import requests
 import tiktoken
 
-import base64
+import asyncio
 import json
+import base64
 import inspect
 
 from functools import partial
-from typing import Dict, List, Tuple, Generator, Optional, Mapping, Any
+from contextlib import closing
+from typing import Dict, List, Tuple, Generator, AsyncGenerator, Optional, Any
 from io import BytesIO
 
 from pydub import AudioSegment
-from PIL import Image
-from nio import (
-    RoomMessageNotice,
-    RoomMessageText,
-    RoomMessageAudio,
-    RoomMessageFile,
-    RoomMessageImage,
-    RoomMessageVideo,
-    Event,
-)
 
-from ..logging import Logger
-from ...tools import TOOLS, Handover, StopProcessing
-from ..exceptions import DownloadException
-from .base import BaseAI, AttributeDictionary
+from .logging import Logger
+from ..tools import TOOLS, Handover, StopProcessing
 
 ASSISTANT_CODE_INTERPRETER = [
     {
@@ -34,126 +24,58 @@ ASSISTANT_CODE_INTERPRETER = [
 ]
 
 
-class OpenAI(BaseAI):
+class AttributeDictionary(dict):
+    def __init__(self, *args, **kwargs):
+        super(AttributeDictionary, self).__init__(*args, **kwargs)
+        self.__dict__ = self
+
+
+class OpenAI:
+    api_key: str
+    chat_model: str = "gpt-3.5-turbo"
+    logger: Logger
+
     api_code: str = "openai"
 
     @property
     def chat_api(self) -> str:
         return self.chat_model
 
-    openai_api: openai.AsyncOpenAI
+    classification_api = chat_api
+    image_model: str = "dall-e-2"
+    tts_model: str = "tts-1-hd"
+    tts_voice: str = "alloy"
+    stt_model: str = "whisper-1"
 
     operator: str = "OpenAI ([https://openai.com](https://openai.com))"
 
     def __init__(
         self,
         bot,
-        config: Mapping,
-        logger: Optional[Logger] = None,
+        api_key,
+        chat_model=None,
+        image_model=None,
+        tts_model=None,
+        tts_voice=None,
+        stt_model=None,
+        base_url=None,
+        logger=None,
     ):
-        super().__init__(bot, config, logger)
+        self.bot = bot
+        self.api_key = api_key
+        self.chat_model = chat_model or self.chat_model
+        self.image_model = image_model or self.image_model
+        self.logger = logger or bot.logger or Logger()
+        self.base_url = base_url or openai.base_url
         self.openai_api = openai.AsyncOpenAI(
             api_key=self.api_key, base_url=self.base_url
         )
-
-    # TODO: Add descriptions for these properties
-
-    @property
-    def api_key(self):
-        return self._config["APIKey"]
-
-    @property
-    def chat_model(self):
-        return self._config.get("Model", fallback="gpt-4o")
-
-    @property
-    def image_model(self):
-        return self._config.get("ImageModel", fallback="dall-e-3")
-
-    @property
-    def tts_model(self):
-        return self._config.get("TTSModel", fallback="tts-1-hd")
-
-    @property
-    def tts_voice(self):
-        return self._config.get("TTSVoice", fallback="alloy")
-
-    @property
-    def stt_model(self):
-        return self._config.get("STTModel", fallback="whisper-1")
-
-    @property
-    def base_url(self):
-        return self._config.get("BaseURL", fallback="https://api.openai.com/v1/")
-
-    @property
-    def temperature(self):
-        return self._config.getfloat("Temperature", fallback=1.0)
-
-    @property
-    def top_p(self):
-        return self._config.getfloat("TopP", fallback=1.0)
-
-    @property
-    def frequency_penalty(self):
-        return self._config.getfloat("FrequencyPenalty", fallback=0.0)
-
-    @property
-    def presence_penalty(self):
-        return self._config.getfloat("PresencePenalty", fallback=0.0)
-
-    @property
-    def force_vision(self):
-        return self._config.getboolean("ForceVision", fallback=False)
-
-    @property
-    def force_video_input(self):
-        return self._config.getboolean("ForceVideoInput", fallback=False)
-
-    @property
-    def force_tools(self):
-        return self._config.getboolean("ForceTools", fallback=False)
-
-    @property
-    def tool_model(self):
-        return self._config.get("ToolModel")
-
-    @property
-    def vision_model(self):
-        return self._config.get("VisionModel")
-
-    @property
-    def emulate_tools(self):
-        return self._config.getboolean("EmulateTools", fallback=False)
-
-    @property
-    def max_tokens(self):
-        # TODO: This should be model-specific
-        return self._config.getint("MaxTokens", fallback=4000)
-
-    @property
-    def max_messages(self):
-        return self._config.getint("MaxMessages", fallback=30)
-
-    @property
-    def max_image_long_side(self):
-        return self._config.getint("MaxImageLongSide", fallback=2000)
-
-    @property
-    def max_image_short_side(self):
-        return self._config.getint("MaxImageShortSide", fallback=768)
-
-    def _is_tool_model(self, model: str) -> bool:
-        return model in ("gpt-3.5-turbo", "gpt-4-turbo", "gpt-4o")
-
-    def _is_vision_model(self, model: str) -> bool:
-        return model in ("gpt-4-turbo", "gpt-4o") or "vision" in model
+        self.tts_model = tts_model or self.tts_model
+        self.tts_voice = tts_voice or self.tts_voice
+        self.stt_model = stt_model or self.stt_model
 
     def supports_chat_images(self):
-        return self._is_vision_model(self.chat_model) or self.force_vision
-
-    def supports_chat_videos(self):
-        return self.force_video_input
+        return "vision" in self.chat_model
 
     def json_decode(self, data):
         if data.startswith("```json\n"):
@@ -166,320 +88,36 @@ class OpenAI(BaseAI):
 
         try:
             return json.loads(data)
-        except Exception:
+        except:
             return False
 
-    async def prepare_messages(
-        self,
-        event: Event,
-        messages: List[Dict[str, str]],
-        system_message=None,
-        room=None,
-    ) -> List[Any]:
-        chat_messages = []
-
-        self.logger.log(f"Incoming messages: {messages}", "debug")
-
-        messages.append(event)
-
-        for message in messages:
-            if isinstance(message, (RoomMessageNotice, RoomMessageText)):
-                role = (
-                    "assistant"
-                    if message.sender == self.bot.matrix_client.user_id
-                    else "user"
-                )
-                if message == event or (not message.event_id == event.event_id):
-                    message_body = (
-                        message.body
-                        if not self.supports_chat_images()
-                        else [{"type": "text", "text": message.body}]
-                    )
-                    chat_messages.append({"role": role, "content": message_body})
-
-            elif isinstance(message, RoomMessageAudio) or (
-                isinstance(message, RoomMessageFile) and message.body.endswith(".mp3")
-            ):
-                role = (
-                    "assistant"
-                    if message.sender == self.bot.matrix_client.user_id
-                    else "user"
-                )
-                if message == event or (not message.event_id == event.event_id):
-                    if room and self.room_uses_stt(room):
-                        try:
-                            download = await self.bot.download_file(
-                                message.url, raise_error=True
-                            )
-                            message_text = await self.bot.stt_api.speech_to_text(
-                                download.body
-                            )
-                        except Exception as e:
-                            self.logger.log(
-                                f"Error generating text from audio: {e}", "error"
-                            )
-                            message_text = message.body
-                    else:
-                        message_text = message.body
-
-                    message_body = (
-                        message_text
-                        if not self.supports_chat_images()
-                        else [{"type": "text", "text": message_text}]
-                    )
-                    chat_messages.append({"role": role, "content": message_body})
-
-            elif isinstance(message, RoomMessageFile):
-                try:
-                    download = await self.bot.download_file(
-                        message.url, raise_error=True
-                    )
-                    if download:
-                        try:
-                            text = download.body.decode("utf-8")
-                        except UnicodeDecodeError:
-                            text = None
-
-                        if text:
-                            role = (
-                                "assistant"
-                                if message.sender == self.bot.matrix_client.user_id
-                                else "user"
-                            )
-                            if message == event or (
-                                not message.event_id == event.event_id
-                            ):
-                                message_body = (
-                                    text
-                                    if not self.supports_chat_images()
-                                    else [{"type": "text", "text": text}]
-                                )
-                                chat_messages.append(
-                                    {"role": role, "content": message_body}
-                                )
-
-                except Exception as e:
-                    self.logger.log(f"Error generating text from file: {e}", "error")
-                    message_body = (
-                        message.body
-                        if not self.supports_chat_images()
-                        else [{"type": "text", "text": message.body}]
-                    )
-                    chat_messages.append({"role": "system", "content": message_body})
-
-            elif self.supports_chat_images() and isinstance(message, RoomMessageImage):
-                try:
-                    image_url = message.url
-                    download = await self.bot.download_file(image_url, raise_error=True)
-
-                    if download:
-                        pil_image = Image.open(BytesIO(download.body))
-
-                        file_format = pil_image.format or "PNG"
-
-                        max_long_side = self.max_image_long_side
-                        max_short_side = self.max_image_short_side
-
-                        if max_long_side and max_short_side:
-                            if pil_image.width > pil_image.height:
-                                if pil_image.width > max_long_side:
-                                    pil_image.thumbnail((max_long_side, max_short_side))
-
-                            else:
-                                if pil_image.height > max_long_side:
-                                    pil_image.thumbnail((max_short_side, max_long_side))
-
-                        bio = BytesIO()
-
-                        pil_image.save(bio, format=file_format)
-
-                        encoded_url = f"data:{download.content_type};base64,{base64.b64encode(bio.getvalue()).decode('utf-8')}"
-                        parent = (
-                            chat_messages[-1]
-                            if chat_messages
-                            and chat_messages[-1]["role"]
-                            == (
-                                "assistant"
-                                if message.sender == self.bot.matrix_client.user_id
-                                else "user"
-                            )
-                            else None
-                        )
-
-                        if not parent:
-                            chat_messages.append(
-                                {
-                                    "role": (
-                                        "assistant"
-                                        if message.sender == self.matrix_client.user_id
-                                        else "user"
-                                    ),
-                                    "content": [],
-                                }
-                            )
-                            parent = chat_messages[-1]
-
-                        parent["content"].append(
-                            {"type": "image_url", "image_url": {"url": encoded_url}}
-                        )
-
-                except Exception as e:
-                    if room and isinstance(e, DownloadException):
-                        self.bot.send_message(
-                            room,
-                            f"Could not process image due to download error: {e.args[0]}",
-                            True,
-                        )
-
-                    self.logger.log(f"Error generating image from file: {e}", "error")
-                    message_body = (
-                        message.body
-                        if not self.supports_chat_images()
-                        else [{"type": "text", "text": message.body}]
-                    )
-                    chat_messages.append({"role": "system", "content": message_body})
-
-            elif self.supports_chat_videos() and (
-                isinstance(message, RoomMessageVideo)
-                or (
-                    isinstance(message, RoomMessageFile)
-                    and message.body.endswith(".mp4")
-                )
-            ):
-                try:
-                    video_url = message.url
-                    download = await self.bot.download_file(video_url, raise_error=True)
-
-                    if download:
-                        video = BytesIO(download.body)
-                        video_url = f"data:{download.content_type};base64,{base64.b64encode(video.getvalue()).decode('utf-8')}"
-
-                        parent = (
-                            chat_messages[-1]
-                            if chat_messages
-                            and chat_messages[-1]["role"]
-                            == (
-                                "assistant"
-                                if message.sender == self.bot.matrix_client.user_id
-                                else "user"
-                            )
-                            else None
-                        )
-
-                        if not parent:
-                            chat_messages.append(
-                                {
-                                    "role": (
-                                        "assistant"
-                                        if message.sender == self.matrix_client.user_id
-                                        else "user"
-                                    ),
-                                    "content": [],
-                                }
-                            )
-                            parent = chat_messages[-1]
-
-                        parent["content"].append(
-                            {"type": "image_url", "image_url": {"url": video_url}}
-                        )
-
-                except Exception as e:
-                    if room and isinstance(e, DownloadException):
-                        self.bot.send_message(
-                            room,
-                            f"Could not process video due to download error: {e.args[0]}",
-                            True,
-                        )
-
-                    self.logger.log(f"Error generating video from file: {e}", "error")
-                    message_body = (
-                        message.body
-                        if not self.supports_chat_images()
-                        else [{"type": "text", "text": message.body}]
-                    )
-                    chat_messages.append({"role": "system", "content": message_body})
-
-        self.logger.log(f"Prepared messages: {chat_messages}", "debug")
-
-        # Truncate messages to fit within the token limit
-        self._truncate(
-            messages=chat_messages,
-            max_tokens=self.max_tokens - 1,
-            system_message=system_message,
-        )
-
-        return chat_messages
-
-    def _truncate(
-        self,
-        messages: List[Any],
-        max_tokens: Optional[int] = None,
-        model: Optional[str] = None,
-        system_message: Optional[str] = None,
-    ) -> List[Any]:
-        """Truncate messages to fit within the token limit.
+    async def _request_with_retries(
+        self, request: partial, attempts: int = 5, retry_interval: int = 2
+    ) -> AsyncGenerator[Any | list | Dict, None]:
+        """Retry a request a set number of times if it fails.
 
         Args:
-            messages (List[Any]): The messages to truncate.
-            max_tokens (Optional[int], optional): The maximum number of tokens to use. Defaults to None, which uses the default token limit.
-            model (Optional[str], optional): The model to use. Defaults to None, which uses the default chat model.
-            system_message (Optional[str], optional): The system message to use. Defaults to None, which uses the default system message.
+            request (partial): The request to make with retries.
+            attempts (int, optional): The number of attempts to make. Defaults to 5.
+            retry_interval (int, optional): The interval in seconds between attempts. Defaults to 2 seconds.
 
         Returns:
-            List[Any]: The truncated messages.
+            AsyncGenerator[Any | list | Dict, None]: The OpenAI response for the request.
         """
+        # call the request function and return the response if it succeeds, else retry
+        current_attempt = 1
+        while current_attempt <= attempts:
+            try:
+                response = await request()
+                return response
+            except Exception as e:
+                self.logger.log(f"Request failed: {e}", "error")
+                self.logger.log(f"Retrying in {retry_interval} seconds...")
+                await asyncio.sleep(retry_interval)
+                current_attempt += 1
 
-        max_tokens = max_tokens or self.max_tokens
-        model = model or self.chat_model
-        system_message = (
-            self.bot.default_system_message
-            if system_message is None
-            else system_message
-        )
-
-        try:
-            encoding = tiktoken.encoding_for_model(model)
-        except Exception:
-            # TODO: Handle this more gracefully
-            encoding = tiktoken.encoding_for_model("gpt-3.5-turbo")
-
-        total_tokens = 0
-
-        system_message_tokens = (
-            0 if not system_message else (len(encoding.encode(system_message)) + 1)
-        )
-
-        if system_message_tokens > max_tokens:
-            self.logger.log(
-                f"System message is too long to fit within token limit ({system_message_tokens} tokens) - cannot proceed",
-                "error",
-            )
-            return []
-
-        total_tokens += system_message_tokens
-
-        total_tokens = len(system_message) + 1
-        truncated_messages = []
-
-        self.logger.log(f"Messages: {messages}", "debug")
-
-        for message in [messages[0]] + list(reversed(messages[1:])):
-            content = (
-                message["content"]
-                if isinstance(message["content"], str)
-                else (
-                    message["content"][0]["text"]
-                    if isinstance(message["content"][0].get("text"), str)
-                    else ""
-                )
-            )
-            tokens = len(encoding.encode(content)) + 1
-            if total_tokens + tokens > max_tokens:
-                break
-            total_tokens += tokens
-            truncated_messages.append(message)
-
-        return [truncated_messages[0]] + list(reversed(truncated_messages[1:]))
+        # if all attempts failed, raise an exception
+        raise Exception("Request failed after all attempts.")
 
     async def generate_chat_response(
         self,
@@ -524,9 +162,9 @@ class OpenAI(BaseAI):
             )
 
             if count > 5:
-                self.logger.log("Recursion depth exceeded, aborting.")
+                self.logger.log(f"Recursion depth exceeded, aborting.")
                 return await self.generate_chat_response(
-                    messages=messages,
+                    messsages=messages,
                     user=user,
                     room=room,
                     allow_override=False,  # TODO: Could this be a problem?
@@ -548,15 +186,10 @@ class OpenAI(BaseAI):
 
         original_messages = messages
 
-        if (
-            allow_override
-            and use_tools
-            and self.tool_model
-            and not (self._is_tool_model(chat_model) or self.force_tools)
-        ):
-            if self.tool_model:
-                self.logger.log("Overriding chat model to use tools")
-                chat_model = self.tool_model
+        if allow_override and not "gpt-3.5-turbo" in original_model:
+            if self.bot.config.getboolean("OpenAI", "ForceTools", fallback=False):
+                self.logger.log(f"Overriding chat model to use tools")
+                chat_model = "gpt-3.5-turbo-0125"
 
                 out_messages = []
 
@@ -581,9 +214,9 @@ class OpenAI(BaseAI):
 
         if (
             use_tools
-            and self.emulate_tools
-            and not self.force_tools
-            and not self._is_tool_model(chat_model)
+            and self.bot.config.getboolean("OpenAI", "EmulateTools", fallback=False)
+            and not self.bot.config.getboolean("OpenAI", "ForceTools", fallback=False)
+            and not "gpt-3.5-turbo" in chat_model
         ):
             self.bot.logger.log("Using tool emulation mode.", "debug")
 
@@ -624,33 +257,19 @@ class OpenAI(BaseAI):
             "model": chat_model,
             "messages": messages,
             "user": room,
-            "temperature": self.temperature,
-            "top_p": self.top_p,
-            "frequency_penalty": self.frequency_penalty,
-            "presence_penalty": self.presence_penalty,
         }
 
-        if (self._is_tool_model(chat_model) and use_tools) or self.force_tools:
+        if "gpt-3.5-turbo" in chat_model and use_tools:
             kwargs["tools"] = tools
 
-        # TODO: Look into this
         if "gpt-4" in chat_model:
-            kwargs["max_tokens"] = self.max_tokens
-
-        api_url = self.base_url
-
-        if chat_model.startswith("gpt-"):
-            if not self.chat_model.startswith("gpt-"):
-                # The model is overridden, we have to ensure that OpenAI is used
-                if self.api_key.startswith("sk-"):
-                    self.openai_api.base_url = "https://api.openai.com/v1/"
+            kwargs["max_tokens"] = self.bot.config.getint(
+                "OpenAI", "MaxTokens", fallback=4000
+            )
 
         chat_partial = partial(self.openai_api.chat.completions.create, **kwargs)
         response = await self._request_with_retries(chat_partial)
 
-        # Setting back the API URL to whatever it was before
-        self.openai_api.base_url = api_url
-
         choice = response.choices[0]
         result_text = choice.message.content
 
@@ -665,7 +284,7 @@ class OpenAI(BaseAI):
                     tool_response = await self.bot.call_tool(
                         tool_call, room=room, user=user
                     )
-                    if tool_response is not False:
+                    if tool_response != False:
                         tool_responses.append(
                             {
                                 "role": "tool",
@@ -686,7 +305,7 @@ class OpenAI(BaseAI):
                     )
 
             if not tool_responses:
-                self.logger.log("No more responses received, aborting.")
+                self.logger.log(f"No more responses received, aborting.")
                 result_text = False
             else:
                 try:
@@ -702,7 +321,7 @@ class OpenAI(BaseAI):
                 except openai.APIError as e:
                     if e.code == "max_tokens":
                         self.logger.log(
-                            "Max tokens exceeded, falling back to no-tools response."
+                            f"Max tokens exceeded, falling back to no-tools response."
                         )
                         try:
                             new_messages = []
@@ -751,6 +370,7 @@ class OpenAI(BaseAI):
         elif isinstance((tool_object := self.json_decode(result_text)), dict):
             if "tool" in tool_object:
                 tool_name = tool_object["tool"]
+                tool_class = TOOLS[tool_name]
                 tool_parameters = (
                     tool_object["parameters"] if "parameters" in tool_object else {}
                 )
@@ -774,7 +394,7 @@ class OpenAI(BaseAI):
                     tool_response = await self.bot.call_tool(
                         tool_call, room=room, user=user
                     )
-                    if tool_response is not False:
+                    if tool_response != False:
                         tool_responses = [
                             {
                                 "role": "system",
@@ -794,7 +414,7 @@ class OpenAI(BaseAI):
                     )
 
                 if not tool_responses:
-                    self.logger.log("No response received, aborting.")
+                    self.logger.log(f"No response received, aborting.")
                     result_text = False
                 else:
                     try:
@@ -862,14 +482,9 @@ class OpenAI(BaseAI):
                 model=original_model,
             )
 
-        if not result_text:
-            self.logger.log(
-                "Received an empty response from the OpenAI endpoint.", "debug"
-            )
-
         try:
             tokens_used = response.usage.total_tokens
-        except Exception:
+        except:
             tokens_used = 0
 
         self.logger.log(f"Generated response with {tokens_used} tokens.")
@@ -908,7 +523,7 @@ Only the event_types mentioned above are allowed, you must not respond in any ot
 
         try:
             result = json.loads(response.choices[0].message["content"])
-        except Exception:
+        except:
             result = {"type": "chat", "prompt": query}
 
         tokens_used = response.usage["total_tokens"]
@@ -951,7 +566,7 @@ Only the event_types mentioned above are allowed, you must not respond in any ot
         Returns:
             Tuple[str, int]: The text and the number of tokens used.
         """
-        self.logger.log("Generating text from speech...")
+        self.logger.log(f"Generating text from speech...")
 
         audio_file = BytesIO()
         AudioSegment.from_file(BytesIO(audio)).export(audio_file, format="mp3")
@@ -1038,20 +653,18 @@ Only the event_types mentioned above are allowed, you must not respond in any ot
         Returns:
             Tuple[str, int]: The description and the number of tokens used.
         """
-        self.logger.log("Generating description for images in conversation...")
+        self.logger.log(f"Generating description for images in conversation...")
 
         system_message = "You are an image description generator. You generate descriptions for all images in the current conversation, one after another."
 
         messages = [{"role": "system", "content": system_message}] + messages[1:]
 
-        chat_model = self.chat_model
-
-        if not self._is_vision_model(chat_model):
-            chat_model = self.vision_model or "gpt-4o"
+        if not "vision" in (chat_model := self.chat_model):
+            chat_model = self.chat_model + "gpt-4-vision-preview"
 
         chat_partial = partial(
             self.openai_api.chat.completions.create,
-            model=chat_model,
+            model=self.chat_model,
             messages=messages,
             user=str(user),
         )

src/gptbot/classes/trackingmore.py

@@ -1,8 +1,9 @@
 import trackingmore
+import requests
 
 from .logging import Logger
 
-from typing import Tuple, Optional
+from typing import Dict, List, Tuple, Generator, Optional
 
 class TrackingMore:
     api_key: str

src/gptbot/classes/wolframalpha.py

@@ -3,7 +3,7 @@ import requests
 
 from .logging import Logger
 
-from typing import Generator, Optional
+from typing import Dict, List, Tuple, Generator, Optional
 
 class WolframAlpha:
     api_key: str

src/gptbot/commands/botinfo.py

@@ -3,16 +3,21 @@ from nio.rooms import MatrixRoom
 
 
 async def command_botinfo(room: MatrixRoom, event: RoomMessageText, bot):
-    bot.logger.log("Showing bot info...")
+    logging("Showing bot info...")
 
-    body = f"""GPT Room info:
+    body = f"""GPT Info:
 
-Model: {await bot.get_room_model(room)}\n
-Maximum context tokens: {bot.chat_api.max_tokens}\n
-Maximum context messages: {bot.chat_api.max_messages}\n
-Bot user ID: {bot.matrix_client.user_id}\n
-Current room ID: {room.room_id}\n
+Model: {bot.model}
+Maximum context tokens: {bot.max_tokens}
+Maximum context messages: {bot.max_messages}
+
+Room info:
+
+Bot user ID: {bot.matrix_client.user_id}
+Current room ID: {room.room_id}
 System message: {bot.get_system_message(room)}
+
+For usage statistics, run !gptbot stats
 """
 
     await bot.send_message(room, body, True)

src/gptbot/commands/calculate.py

@@ -23,12 +23,14 @@ async def command_calculate(room: MatrixRoom, event: RoomMessageText, bot):
         bot.logger.log("Querying calculation API...")
 
         for subpod in bot.calculation_api.generate_calculation_response(prompt, text, results_only, user=room.room_id):
-            bot.logger.log("Sending subpod...")
+            bot.logger.log(f"Sending subpod...")
             if isinstance(subpod, bytes):
                 await bot.send_image(room, subpod)
             else:
                 await bot.send_message(room, subpod, True)
 
+        bot.log_api_usage(event, room, f"{bot.calculation_api.api_code}-{bot.calculation_api.calculation_api}", tokens_used)
+
         return
 
     await bot.send_message(room, "You need to provide a prompt.", True)

src/gptbot/commands/dice.py

@@ -9,7 +9,7 @@ async def command_dice(room: MatrixRoom, event: RoomMessageText, bot):
 
     try:
         sides = int(event.body.split()[2])
-    except (ValueError, IndexError):
+    except ValueError:
         sides = 6
 
     if sides < 2:

src/gptbot/commands/help.py

@@ -8,17 +8,18 @@ async def command_help(room: MatrixRoom, event: RoomMessageText, bot):
 - !gptbot help - Show this message
 - !gptbot botinfo - Show information about the bot
 - !gptbot privacy - Show privacy information
-- !gptbot newroom <room name> - Create a new room and invite yourself to it
-- !gptbot systemmessage <message> - Get or set the system message for this room
+- !gptbot newroom \<room name\> - Create a new room and invite yourself to it
+- !gptbot stats - Show usage statistics for this room
+- !gptbot systemmessage \<message\> - Get or set the system message for this room
 - !gptbot space [enable|disable|update|invite] - Enable, disable, force update, or invite yourself to your space
 - !gptbot coin - Flip a coin (heads or tails)
 - !gptbot dice [number] - Roll a dice with the specified number of sides (default: 6)
-- !gptbot imagine <prompt> - Generate an image from a prompt
-- !gptbot calculate [--text] [--details] <query> - Calculate a result to a calculation, optionally forcing text output instead of an image, and optionally showing additional details like the input interpretation
-- !gptbot chat <message> - Send a message to the chat API
-- !gptbot classify <message> - Classify a message using the classification API
-- !gptbot custom <message> - Used for custom commands handled by the chat model and defined through the room's system message
-- !gptbot roomsettings [use_classification|use_timing|always_reply|system_message|tts] [true|false|<message>] - Get or set room settings
+- !gptbot imagine \<prompt\> - Generate an image from a prompt
+- !gptbot calculate [--text] [--details] \<query\> - Calculate a result to a calculation, optionally forcing text output instead of an image, and optionally showing additional details like the input interpretation
+- !gptbot chat \<message\> - Send a message to the chat API
+- !gptbot classify \<message\> - Classify a message using the classification API
+- !gptbot custom \<message\> - Used for custom commands handled by the chat model and defined through the room's system message
+- !gptbot roomsettings [use_classification|use_timing|always_reply|system_message|tts] [true|false|\<message\>] - Get or set room settings
 - !gptbot ignoreolder - Ignore messages before this point as context
 """
 

src/gptbot/commands/imagine.py

@@ -16,7 +16,7 @@ async def command_imagine(room: MatrixRoom, event: RoomMessageText, bot):
             return
 
         for image in images:
-            bot.logger.log("Sending image...")
+            bot.logger.log(f"Sending image...")
             await bot.send_image(room, image)
 
         bot.log_api_usage(event, room, f"{bot.image_api.api_code}-{bot.image_api.image_model}", tokens_used)

src/gptbot/commands/newroom.py

@@ -13,7 +13,7 @@ async def command_newroom(room: MatrixRoom, event: RoomMessageText, bot):
 
     if isinstance(new_room, RoomCreateError):
         bot.logger.log(f"Failed to create room: {new_room.message}")
-        await bot.send_message(room, "Sorry, I was unable to create a new room. Please try again later, or create a room manually.", True)
+        await bot.send_message(room, f"Sorry, I was unable to create a new room. Please try again later, or create a room manually.", True)
         return
 
     bot.logger.log(f"Inviting {event.sender} to new room...")
@@ -21,7 +21,7 @@ async def command_newroom(room: MatrixRoom, event: RoomMessageText, bot):
 
     if isinstance(invite, RoomInviteError):
         bot.logger.log(f"Failed to invite user: {invite.message}")
-        await bot.send_message(room, "Sorry, I was unable to invite you to the new room. Please try again later, or create a room manually.", True)
+        await bot.send_message(room, f"Sorry, I was unable to invite you to the new room. Please try again later, or create a room manually.", True)
         return
 
     with closing(bot.database.cursor()) as cursor:
@@ -43,4 +43,4 @@ async def command_newroom(room: MatrixRoom, event: RoomMessageText, bot):
 
     await bot.matrix_client.joined_rooms()
     await bot.send_message(room, f"Alright, I've created a new room called '{room_name}' and invited you to it. You can find it at {new_room.room_id}", True)
-    await bot.send_message(bot.matrix_client.rooms[new_room.room_id], "Welcome to the new room! What can I do for you?")
+    await bot.send_message(bot.matrix_client.rooms[new_room.room_id], f"Welcome to the new room! What can I do for you?")

src/gptbot/commands/privacy.py

@@ -11,7 +11,7 @@ async def command_privacy(room: MatrixRoom, event: RoomMessageText, bot):
         body += "- For chat requests: " + f"{bot.chat_api.operator}" + "\n"
     if bot.image_api:
         body += "- For image generation requests (!gptbot imagine): " + f"{bot.image_api.operator}" + "\n"
-    if bot.calculation_api:
-        body += "- For calculation requests (!gptbot calculate): " + f"{bot.calculation_api.operator}" + "\n"
+    if bot.calculate_api:
+        body += "- For calculation requests (!gptbot calculate): " + f"{bot.calculate_api.operator}" + "\n"
 
     await bot.send_message(room, body, True)

src/gptbot/commands/roomsettings.py

@@ -114,7 +114,7 @@ async def command_roomsettings(room: MatrixRoom, event: RoomMessageText, bot):
         await bot.send_message(room, f"The current chat model is: '{value}'.", True)
         return
 
-    message = """The following settings are available:
+    message = f"""The following settings are available:
 
 - system_message [message]: Get or set the system message to be sent to the chat model
 - classification [true/false]: Get or set whether the room uses classification

src/gptbot/commands/space.py

@@ -120,7 +120,7 @@ async def command_space(room: MatrixRoom, event: RoomMessageText, bot):
 
             if isinstance(response, RoomInviteError):
                 bot.logger.log(
-                    f"Failed to invite user {event.sender} to space {space}", "error")
+                    f"Failed to invite user {user} to space {space}", "error")
                 await bot.send_message(
                     room, "Sorry, I couldn't invite you to the space. Please try again later.", True)
                 return

src/gptbot/commands/stats.py

@@ -5,30 +5,16 @@ from contextlib import closing
 
 
 async def command_stats(room: MatrixRoom, event: RoomMessageText, bot):
-    await bot.send_message(
-        room,
-        "The `stats` command is no longer supported. Sorry for the inconvenience.",
-        True,
-    )
-    return
-
-    # Yes, the code below is unreachable, but it's kept here for reference.
-
     bot.logger.log("Showing stats...")
 
     if not bot.database:
         bot.logger.log("No database connection - cannot show stats")
-        await bot.send_message(
-            room,
-            "Sorry, I'm not connected to a database, so I don't have any statistics on your usage.",
-            True,
-        )
-        return
+        bot.send_message(room, "Sorry, I'm not connected to a database, so I don't have any statistics on your usage.", True)
+        return 
 
     with closing(bot.database.cursor()) as cursor:
         cursor.execute(
-            "SELECT SUM(tokens) FROM token_usage WHERE room_id = ?", (room.room_id,)
-        )
+            "SELECT SUM(tokens) FROM token_usage WHERE room_id = ?", (room.room_id,))
         total_tokens = cursor.fetchone()[0] or 0
 
-    await bot.send_message(room, f"Total tokens used: {total_tokens}", True)
+    bot.send_message(room, f"Total tokens used: {total_tokens}", True)

src/gptbot/commands/tts.py

@@ -15,7 +15,7 @@ async def command_tts(room: MatrixRoom, event: RoomMessageText, bot):
             await bot.send_message(room, "Sorry, I couldn't generate an audio file. Please try again later.", True)
             return
 
-        bot.logger.log("Sending audio file...")
+        bot.logger.log(f"Sending audio file...")
         await bot.send_file(room, content, "audio.mp3", "audio/mpeg", "m.audio")
 
         return

src/gptbot/migrations/__init__.py

@@ -22,7 +22,7 @@ def get_version(db: SQLiteConnection) -> int:
 
     try:
         return int(db.execute("SELECT MAX(id) FROM migrations").fetchone()[0])
-    except Exception:
+    except:
         return 0
 
 def migrate(db: SQLiteConnection, from_version: Optional[int] = None, to_version: Optional[int] = None) -> None:

src/gptbot/migrations/migration_2.py

@@ -1,5 +1,7 @@
 # Migration for Matrix Store - No longer used
 
+from datetime import datetime
+from contextlib import closing
 
 def migration(conn):
     pass

src/gptbot/tools/__init__.py

@@ -1,6 +1,6 @@
 from importlib import import_module
 
-from .base import BaseTool, StopProcessing, Handover  # noqa: F401
+from .base import BaseTool, StopProcessing, Handover
 
 TOOLS = {}
 

src/gptbot/tools/imagedescription.py

@@ -1,4 +1,4 @@
-from .base import BaseTool
+from .base import BaseTool, Handover
 
 class Imagedescription(BaseTool):
     DESCRIPTION = "Describe the content of the images in the conversation."

src/gptbot/tools/newroom.py

@@ -47,7 +47,7 @@ class Newroom(BaseTool):
             await self.bot.add_rooms_to_space(space[0], [new_room.room_id])
 
         if self.bot.logo_uri:
-            await self.bot.matrix_client.room_put_state(new_room, "m.room.avatar", {
+            await self.bot.matrix_client.room_put_state(room, "m.room.avatar", {
                 "url": self.bot.logo_uri
             }, "")
 

src/gptbot/tools/weather.py

@@ -17,10 +17,6 @@ class Weather(BaseTool):
                 "type": "string",
                 "description": "The longitude of the location.",
             },
-            "name": {
-                "type": "string",
-                "description": "A location name to include in the report. This is optional, latitude and longitude are always required."
-            }
         },
         "required": ["latitude", "longitude"],
     }
@@ -30,8 +26,6 @@ class Weather(BaseTool):
         if not (latitude := self.kwargs.get("latitude")) or not (longitude := self.kwargs.get("longitude")):
             raise Exception('No location provided.')
 
-        name = self.kwargs.get("name")
-
         weather_api_key = self.bot.config.get("OpenWeatherMap", "APIKey")
 
         if not weather_api_key:
@@ -43,7 +37,7 @@ class Weather(BaseTool):
             async with session.get(url) as response:
                 if response.status == 200:
                     data = await response.json()
-                    return f"""**Weather report{f" for {name}" if name else ""}**
+                    return f"""**Weather report**
 Current: {data['current']['temp']}°C, {data['current']['weather'][0]['description']}
 Feels like: {data['current']['feels_like']}°C
 Humidity: {data['current']['humidity']}%