Make gptbot more compatible by using non-streaming method

chore: bump ruff-pre-commit to v0.0.290

.env.example

@@ -1,20 +1,6 @@
-# Please remove the option that is blank
-HOMESERVER="https://matrix.xxxxxx.xxxx" # required
+HOMESERVER="https://matrix-client.matrix.org" # required
 USER_ID="@lullap:xxxxxxxxxxxxx.xxx" # required
-PASSWORD="xxxxxxxxxxxxxxx" # Optional
-DEVICE_ID="xxxxxxxxxxxxxx" # required
+PASSWORD="xxxxxxxxxxxxxxx" # required
+DEVICE_ID="MatrixChatGPTBot" # required
 ROOM_ID="!FYCmBSkCRUXXXXXXXXX:matrix.XXX.XXX" # Optional, if not set, bot will work on the room it is in
-OPENAI_API_KEY="xxxxxxxxxxxxxxxxx" # Optional, for !chat and !gpt command
-API_ENDPOINT="xxxxxxxxxxxxxxx" # Optional, for !chat and !bing command
-ACCESS_TOKEN="xxxxxxxxxxxxxxxxxxxxx" # Optional, use user_id and password is recommended
-BARD_TOKEN="xxxxxxxxxxxxxxxxxxxx", # Optional, for !bard command
-BING_AUTH_COOKIE="xxxxxxxxxxxxxxxxxxx" # _U cookie, Optional, for Bing Image Creator
-MARKDOWN_FORMATTED="true" # Optional
-OUTPUT_FOUR_IMAGES="true" # Optional
-IMPORT_KEYS_PATH="element-keys.txt" # Optional, used for E2EE Room
-IMPORT_KEYS_PASSWORD="xxxxxxx" # Optional
-FLOWISE_API_URL="http://localhost:3000/api/v1/prediction/xxxx" # Optional
-FLOWISE_API_KEY="xxxxxxxxxxxxxxxxxxxxxxx" # Optional
-PANDORA_API_ENDPOINT="http://pandora:8008" # Optional, for !talk, !goon command
-PANDORA_API_MODEL="text-davinci-002-render-sha-mobile" # Optional
-TEMPERATURE="0.8" # Optional
+OPENAI_API_KEY="xxxxxxxxxxxxxxxxx" # Optional

.full-env.example

@@ -0,0 +1,27 @@
+HOMESERVER="https://matrix-client.matrix.org"
+USER_ID="@lullap:xxxxxxxxxxxxx.xxx"
+PASSWORD="xxxxxxxxxxxxxxx"
+ACCESS_TOKEN="xxxxxxxxxxx"
+DEVICE_ID="xxxxxxxxxxxxxx"
+ROOM_ID="!FYCmBSkCRUXXXXXXXXX:matrix.XXX.XXX"
+IMPORT_KEYS_PATH="element-keys.txt"
+IMPORT_KEYS_PASSWORD="xxxxxxxxxxxx"
+OPENAI_API_KEY="xxxxxxxxxxxxxxxxx"
+GPT_API_ENDPOINT="https://api.openai.com/v1/chat/completions"
+GPT_MODEL="gpt-3.5-turbo"
+MAX_TOKENS=4000
+TOP_P=1.0
+PRESENCE_PENALTY=0.0
+FREQUENCY_PENALTY=0.0
+REPLY_COUNT=1
+SYSTEM_PROMPT="You are ChatGPT,  a large language model trained by OpenAI. Respond conversationally"
+TEMPERATURE=0.8
+LC_ADMIN="@admin:xxxxxx.xxx,@admin2:xxxxxx.xxx"
+IMAGE_GENERATION_ENDPOINT="http://127.0.0.1:7860/sdapi/v1/txt2img"
+IMAGE_GENERATION_BACKEND="sdwui" # openai or sdwui or localai
+IMAGE_GENERATION_SIZE="512x512"
+IMAGE_FORMAT="webp"
+SDWUI_STEPS=20
+SDWUI_SAMPLER_NAME="Euler a"
+SDWUI_CFG_SCALE=7
+TIMEOUT=120.0

.github/FUNDING.yml

@@ -1,3 +0,0 @@
-# These are supported funding model platforms
-
-custom: ["https://www.paypal.me/bobmaster922"]

.github/workflows/pylint.yml

@@ -1,28 +0,0 @@
-name: Pylint
-
-on: [push, pull_request]
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        python-version: ["3.10", "3.11"]
-    steps:
-    - uses: actions/checkout@v3
-    - name: Install libolm-dev
-      run: |
-        sudo apt install -y libolm-dev
-    - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v4
-      with:
-        python-version: ${{ matrix.python-version }}
-        cache: 'pip'
-    - name: Install dependencies
-      run: |
-        pip install -U pip setuptools wheel
-        pip install -r requirements.txt
-        pip install pylint
-    - name: Analysing the code with pylint
-      run: |
-        pylint $(git ls-files '*.py') --errors-only

.gitignore

@@ -168,3 +168,8 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 .idea/
+
+# Custom
+sync_db
+manage_db
+element-keys.txt

.pre-commit-config.yaml

@@ -0,0 +1,16 @@
+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.5.0
+    hooks:
+      - id: trailing-whitespace
+      - id: end-of-file-fixer
+      - id: check-yaml
+  - repo: https://github.com/psf/black
+    rev: 23.12.0
+    hooks:
+      - id: black
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.1.7
+    hooks:
+      - id: ruff
+        args: [--fix, --exit-non-zero-on-fix]

CHANGELOG.md

@@ -1,5 +1,31 @@
 # Changelog
 
+## 1.5.3
+- Make gptbot more compatible by using non-streaming method
+
+## 1.5.2
+- Expose more stable diffusion webui api parameters
+
+## 1.5.1
+- fix: set timeout not work in image generation
+
+## 1.5.0
+- Fix localai v2.0+ image generation
+- Fallback to gpt-3.5-turbo when caculate tokens using custom model
+
+## 1.4.1
+- Fix variable type imported from environment variable
+- Bump pre-commit hook version
+
+## 1.4.0
+- Fix access_token login method not work in E2EE Room
+
+## 1.3.0
+- remove support for bing,bard,pandora
+- refactor chat logic, add self host model support
+- support new image generation endpoint
+- admin system to manage langchain(flowise backend)
+
 ## 1.2.0
 - rename `api_key` to `openai_api_key` in `config.json`
 - rename `bing_api_endpoint` to `api_endpoint` in `config.json` and `env` file

Dockerfile

@@ -2,7 +2,7 @@ FROM python:3.11-alpine as base
 
 FROM base as pybuilder
 # RUN sed -i 's|v3\.\d*|edge|' /etc/apk/repositories
-RUN apk update && apk add --no-cache olm-dev gcc musl-dev libmagic libffi-dev
+RUN apk update && apk add --no-cache olm-dev gcc musl-dev libmagic libffi-dev cmake make g++ git python3-dev
 COPY requirements.txt /requirements.txt
 RUN pip install -U pip setuptools wheel && pip install --user -r /requirements.txt && rm /requirements.txt
 

README.md

@@ -1,32 +1,29 @@
 ## Introduction
 
-This is a simple Matrix bot that uses OpenAI's GPT API and Bing AI and Google Bard to generate responses to user inputs. The bot responds to these commands: `!gpt`, `!chat` and `!bing` and `!pic` and `!bard` and `!talk`, `!goon`, `!new` and `!lc` and `!help` depending on the first word of the prompt.
-![Bing](https://user-images.githubusercontent.com/32976627/231073146-3e380217-a6a2-413d-9203-ab36965b909d.png)
-![image](https://user-images.githubusercontent.com/32976627/232036790-e830145c-914e-40be-b3e6-c02cba93329c.png)
+This is a simple Matrix bot that support using OpenAI API, Langchain to generate responses from user inputs. The bot responds to these commands: `!gpt`, `!chat`, `!pic`, `!new`, `!lc` and `!help` depending on the first word of the prompt.
 ![ChatGPT](https://i.imgur.com/kK4rnPf.jpeg)
 
 ## Feature
 
-1. Support Openai ChatGPT and Bing AI and Google Bard
-2. Support Bing Image Creator
-3. Support E2E Encrypted Room
-4. Colorful code blocks
-5. Langchain([Flowise](https://github.com/FlowiseAI/Flowise))
-6. ChatGPT Web ([pandora](https://github.com/pengzhile/pandora))
-7. Session isolation support(`!chat`,`!bing`,`!bard`,`!talk`)
+1. Support official openai api and self host models([LocalAI](https://localai.io/model-compatibility/))
+2. Support E2E Encrypted Room
+3. Colorful code blocks
+4. Langchain([Flowise](https://github.com/FlowiseAI/Flowise))
+5. Image Generation with [DALL·E](https://platform.openai.com/docs/api-reference/images/create) or [LocalAI](https://localai.io/features/image-generation/) or [stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/API)
+
 
 ## Installation and Setup
 
 Docker method(Recommended):<br>
 Edit `config.json` or `.env` with proper values <br>
 For explainations and complete parameter list see: https://github.com/hibobmaster/matrix_chatgpt_bot/wiki <br>
-Create an empty file, for persist database only<br>
+Create two empty file, for persist database only<br>
 
 ```bash
-touch db
+touch sync_db manage_db
 sudo docker compose up -d
 ```
-
+manage_db(can be ignored) is for langchain agent, sync_db is for matrix sync database<br>
 <hr>
 Normal Method:<br>
 system dependece: <code>libolm-dev</code>
@@ -47,13 +44,9 @@ pip install -U pip setuptools wheel
 pip install -r requirements.txt
 ```
 
-3. Create a new config.json file and fill it with the necessary information:<br>
-   Use password to login(recommended) or provide `access_token` <br>
+3. Create a new config.json file and complete it with the necessary information:<br>
    If not set:<br>
    `room_id`: bot will work in the room where it is in <br>
-   `openai_api_key`: `!gpt` `!chat` command will not work <br>
-   `api_endpoint`: `!bing` `!chat` command will not work <br>
-   `bing_auth_cookie`: `!pic` command will not work
 
 ```json
 {
@@ -63,13 +56,11 @@ pip install -r requirements.txt
   "device_id": "YOUR_DEVICE_ID",
   "room_id": "YOUR_ROOM_ID",
   "openai_api_key": "YOUR_API_KEY",
-  "access_token": "xxxxxxxxxxxxxx",
-  "api_endpoint": "xxxxxxxxx",
-  "bing_auth_cookie": "xxxxxxxxxx"
+  "gpt_api_endpoint": "xxxxxxxxx"
 }
 ```
 
-4. Start the bot:
+4. Launch the bot:
 
 ```
 python src/main.py
@@ -77,7 +68,7 @@ python src/main.py
 
 ## Usage
 
-To interact with the bot, simply send a message to the bot in the Matrix room with one of the two prompts:<br>
+To interact with the bot, simply send a message to the bot in the Matrix room with one of the following prompts:<br>
 - `!help` help message
 
 - `!gpt` To generate a one time response:
@@ -92,45 +83,34 @@ To interact with the bot, simply send a message to the bot in the Matrix room wi
 !chat Can you tell me a joke?
 ```
 
-- `!bing` To chat with Bing AI with context conversation
-
-```
-!bing Do you know Victor Marie Hugo?
-```
-
-- `!bard` To chat with Google's Bard
-```
-!bard Building a website can be done in 10 simple steps
-```
 - `!lc` To chat using langchain api endpoint
 ```
-!lc 人生如音乐，欢乐且自由
+!lc All the world is a stage
 ```
-- `!pic` To generate an image from Microsoft Bing
+- `!pic` To generate an image using openai DALL·E or LocalAI
 
 ```
 !pic A bridal bouquet made of succulents
 ```
-- `!new + {chat,bing,bard,talk}` Start a new converstaion
-
-The following commands need pandora http api:
-https://github.com/pengzhile/pandora/blob/master/doc/wiki_en.md#http-restful-api
-- `!talk + [prompt]`  Chat using chatGPT web with context conversation
-- `!goon` Ask chatGPT to complete the missing part from previous conversation
-
-
-## Bing AI and Image Generation
+- `!agent` display or set langchain agent
+```
+!agent list
+!agent use {agent_name}
+```
+- `!new + {chat}` Start a new converstaion
 
+LangChain(flowise) admin: https://github.com/hibobmaster/matrix_chatgpt_bot/wiki/Langchain-(flowise)
 
+## Image Generation
+![demo1](https://i.imgur.com/voeomsF.jpg)
+![demo2](https://i.imgur.com/BKZktWd.jpg)
 https://github.com/hibobmaster/matrix_chatgpt_bot/wiki/ <br>
-![](https://i.imgur.com/KuYddd5.jpg)
-![](https://i.imgur.com/3SRQdN0.jpg)
+
 
 ## Thanks
 1. [matrix-nio](https://github.com/poljar/matrix-nio)
 2. [acheong08](https://github.com/acheong08)
-3. [node-chatgpt-api](https://github.com/waylaidwanderer/node-chatgpt-api)
-4. [8go](https://github.com/8go/)
+3. [8go](https://github.com/8go/)
 
 <a href="https://jb.gg/OpenSourceSupport" target="_blank">
 <img src="https://resources.jetbrains.com/storage/products/company/brand/logos/jb_beam.png" alt="JetBrains Logo (Main) logo." width="200" height="200">

compose.yaml

@@ -11,32 +11,14 @@ services:
     volumes:
       # use env file or config.json
       # - ./config.json:/app/config.json
-      # use touch to create an empty file db, for persist database only
-      - ./db:/app/db
+      # use touch to create empty db file, for persist database only
+      # manage_db(can be ignored) is for langchain agent, sync_db is for matrix sync database
+      - ./sync_db:/app/sync_db
+      # - ./manage_db:/app/manage_db
       # import_keys path
       # - ./element-keys.txt:/app/element-keys.txt
     networks:
       - matrix_network
-  api:
-    # ChatGPT and Bing API
-    image: hibobmaster/node-chatgpt-api:latest
-    container_name: node-chatgpt-api
-    restart: unless-stopped
-    volumes:
-      - ./settings.js:/app/settings.js
-    networks:
-      - matrix_network
-
-  # pandora:
-  #   # ChatGPT Web
-  #   image: pengzhile/pandora
-  #   container_name: pandora
-  #   restart: unless-stopped
-  #   environment:
-  #     - PANDORA_ACCESS_TOKEN=xxxxxxxxxxxxxx
-  #     - PANDORA_SERVER=0.0.0.0:8008
-  #   networks:
-  #     - matrix_network
 
 networks:
   matrix_network:

config.json.example

@@ -0,0 +1,7 @@
+{
+  "homeserver": "https://matrix-client.matrix.org",
+  "user_id": "@lullap:xxxxx.org",
+  "password": "xxxxxxxxxxxxxxxxxx",
+  "device_id": "MatrixChatGPTBot",
+  "openai_api_key": "xxxxxxxxxxxxxxxxxxxxxxxx"
+}

config.json.sample

@@ -1,21 +0,0 @@
-{
-  "homeserver": "https://matrix.qqs.tw",
-  "user_id": "@lullap:xxxxx.org",
-  "password": "xxxxxxxxxxxxxxxxxx",
-  "device_id": "ECYEOKVPLG",
-  "room_id": "!FYCmBSkCRUNvZDBaDQ:matrix.qqs.tw",
-  "openai_api_key": "xxxxxxxxxxxxxxxxxxxxxxxx",
-  "api_endpoint": "http://api:3000/conversation",
-  "access_token": "xxxxxxx",
-  "bard_token": "xxxxxxx",
-  "bing_auth_cookie": "xxxxxxxxxxx",
-  "markdown_formatted": true,
-  "output_four_images": true,
-  "import_keys_path": "element-keys.txt",
-  "import_keys_password": "xxxxxxxxx",
-  "flowise_api_url": "http://localhost:3000/api/v1/prediction/6deb3c89-45bf-4ac4-a0b0-b2d5ef249d21",
-  "flowise_api_key": "U3pe0bbVDWOyoJtsDzFJjRvHKTP3FRjODwuM78exC3A=",
-  "pandora_api_endpoint": "http://127.0.0.1:8008",
-  "pandora_api_model": "text-davinci-002-render-sha-mobile",
-  "temperature": 0.8
-}

full-config.json.example

@@ -0,0 +1,29 @@
+{
+    "homeserver": "https://matrix-client.matrix.org",
+    "user_id": "@lullap:xxxxx.org",
+    "password": "xxxxxxxxxxxxxxxxxx",
+    "access_token": "xxxxxxxxxxxxxx",
+    "device_id": "MatrixChatGPTBot",
+    "room_id": "!xxxxxxxxxxxxxxxxxxxxxx:xxxxx.org",
+    "import_keys_path": "element-keys.txt",
+    "import_keys_password": "xxxxxxxxxxxxxxxxxxxx",
+    "openai_api_key": "xxxxxxxxxxxxxxxxxxxxxxxx",
+    "gpt_api_endpoint": "https://api.openai.com/v1/chat/completions",
+    "gpt_model": "gpt-3.5-turbo",
+    "max_tokens": 4000,
+    "top_p": 1.0,
+    "presence_penalty": 0.0,
+    "frequency_penalty": 0.0,
+    "reply_count": 1,
+    "temperature": 0.8,
+    "system_prompt": "You are ChatGPT,  a large language model trained by OpenAI. Respond conversationally",
+    "lc_admin": ["@admin:xxxxx.org"],
+    "image_generation_endpoint": "http://localai:8080/v1/images/generations",
+    "image_generation_backend": "localai",
+    "image_generation_size": "512x512",
+    "sdwui_steps": 20,
+    "sdwui_sampler_name": "Euler a",
+    "sdwui_cfg_scale": 7,
+    "image_format": "webp",
+    "timeout": 120.0
+}

requirements-dev.txt

@@ -0,0 +1,9 @@
+aiofiles
+httpx
+Markdown
+matrix-nio[e2e]
+Pillow
+tiktoken
+tenacity
+python-magic
+pytest

requirements.txt

@@ -1,51 +1,8 @@
-aiofiles==23.1.0
-aiohttp==3.8.4
-aiohttp-socks==0.7.1
-aiosignal==1.3.1
-anyio==3.6.2
-async-timeout==4.0.2
-atomicwrites==1.4.1
-attrs==22.2.0
-blobfile==2.0.1
-cachetools==4.2.4
-certifi==2022.12.7
-cffi==1.15.1
-charset-normalizer==3.1.0
-cryptography==41.0.0
-filelock==3.11.0
-frozenlist==1.3.3
-future==0.18.3
-h11==0.14.0
-h2==4.1.0
-hpack==4.0.0
-httpcore==0.16.3
-httpx==0.23.3
-hyperframe==6.0.1
-idna==3.4
-jsonschema==4.17.3
-Logbook==1.5.3
-lxml==4.9.2
-Markdown==3.4.3
-matrix-nio[e2e]==0.20.2
-multidict==6.0.4
-peewee==3.16.0
-Pillow==9.5.0
-pycparser==2.21
-pycryptodome==3.17
-pycryptodomex==3.17
-pyrsistent==0.19.3
-python-cryptography-fernet-wrapper==1.0.4
-python-magic==0.4.27
-python-olm==3.1.3
-python-socks==2.2.0
-regex==2023.3.23
-requests==2.31.0
-rfc3986==1.5.0
-six==1.16.0
-sniffio==1.3.0
-tiktoken==0.3.3
-toml==0.10.2
-unpaddedbase64==2.1.0
-urllib3==1.26.15
-wcwidth==0.2.6
-yarl==1.8.2
+aiofiles
+httpx
+Markdown
+matrix-nio[e2e]
+Pillow
+tiktoken
+tenacity
+python-magic

settings.js.example

@@ -1,101 +0,0 @@
-export default {
-    // Options for the Keyv cache, see https://www.npmjs.com/package/keyv.
-    // This is used for storing conversations, and supports additional drivers (conversations are stored in memory by default).
-    // Only necessary when using `ChatGPTClient`, or `BingAIClient` in jailbreak mode.
-    cacheOptions: {},
-    // If set, `ChatGPTClient` and `BingAIClient` will use `keyv-file` to store conversations to this JSON file instead of in memory.
-    // However, `cacheOptions.store` will override this if set
-    storageFilePath: process.env.STORAGE_FILE_PATH || './cache.json',
-    chatGptClient: {
-        // Your OpenAI API key (for `ChatGPTClient`)
-        openaiApiKey: process.env.OPENAI_API_KEY || '',
-        // (Optional) Support for a reverse proxy for the completions endpoint (private API server).
-        // Warning: This will expose your `openaiApiKey` to a third party. Consider the risks before using this.
-        // reverseProxyUrl: 'https://chatgpt.hato.ai/completions',
-        // (Optional) Parameters as described in https://platform.openai.com/docs/api-reference/completions
-        modelOptions: {
-            // You can override the model name and any other parameters here.
-            // The default model is `gpt-3.5-turbo`.
-            model: 'gpt-3.5-turbo',
-            // Set max_tokens here to override the default max_tokens of 1000 for the completion.
-            // max_tokens: 1000,
-        },
-        // (Optional) Davinci models have a max context length of 4097 tokens, but you may need to change this for other models.
-        // maxContextTokens: 4097,
-        // (Optional) You might want to lower this to save money if using a paid model like `text-davinci-003`.
-        // Earlier messages will be dropped until the prompt is within the limit.
-        // maxPromptTokens: 3097,
-        // (Optional) Set custom instructions instead of "You are ChatGPT...".
-        // (Optional) Set a custom name for the user
-        // userLabel: 'User',
-        // (Optional) Set a custom name for ChatGPT ("ChatGPT" by default)
-        // chatGptLabel: 'Bob',
-        // promptPrefix: 'You are Bob, a cowboy in Western times...',
-        // A proxy string like "http://<ip>:<port>"
-        proxy: '',
-        // (Optional) Set to true to enable `console.debug()` logging
-        debug: false,
-    },
-    // Options for the Bing client
-    bingAiClient: {
-        // Necessary for some people in different countries, e.g. China (https://cn.bing.com)
-        host: '',
-        // The "_U" cookie value from bing.com
-        userToken: '',
-        // If the above doesn't work, provide all your cookies as a string instead
-        cookies: '',
-        // A proxy string like "http://<ip>:<port>"
-        proxy: '',
-        // (Optional) Set 'x-forwarded-for' for the request. You can use a fixed IPv4 address or specify a range using CIDR notation,
-        // and the program will randomly select an address within that range. The 'x-forwarded-for' is not used by default now.
-        // xForwardedFor: '13.104.0.0/14',
-        // (Optional) Set 'genImage' to true to enable bing to create images for you. It's disabled by default.
-        // features: {
-        //     genImage: true,
-        // },
-        // (Optional) Set to true to enable `console.debug()` logging
-        debug: false,
-    },
-    chatGptBrowserClient: {
-        // (Optional) Support for a reverse proxy for the conversation endpoint (private API server).
-        // Warning: This will expose your access token to a third party. Consider the risks before using this.
-        reverseProxyUrl: 'https://bypass.churchless.tech/api/conversation',
-        // Access token from https://chat.openai.com/api/auth/session
-        accessToken: '',
-        // Cookies from chat.openai.com (likely not required if using reverse proxy server).
-        cookies: '',
-        // A proxy string like "http://<ip>:<port>"
-        proxy: '',
-        // (Optional) Set to true to enable `console.debug()` logging
-        debug: false,
-    },
-    // Options for the API server
-    apiOptions: {
-        port: process.env.API_PORT || 3000,
-        host: process.env.API_HOST || 'localhost',
-        // (Optional) Set to true to enable `console.debug()` logging
-        debug: false,
-        // (Optional) Possible options: "chatgpt", "chatgpt-browser", "bing". (Default: "chatgpt")
-        // clientToUse: 'bing',
-        // (Optional) Generate titles for each conversation for clients that support it (only ChatGPTClient for now).
-        // This will be returned as a `title` property in the first response of the conversation.
-        generateTitles: false,
-        // (Optional) Set this to allow changing the client or client options in POST /conversation.
-        // To disable, set to `null`.
-        perMessageClientOptionsWhitelist: {
-            // The ability to switch clients using `clientOptions.clientToUse` will be disabled if `validClientsToUse` is not set.
-            // To allow switching clients per message, you must set `validClientsToUse` to a non-empty array.
-            validClientsToUse: ['bing', 'chatgpt'], // values from possible `clientToUse` options above
-            // The Object key, e.g. "chatgpt", is a value from `validClientsToUse`.
-            // If not set, ALL options will be ALLOWED to be changed. For example, `bing` is not defined in `perMessageClientOptionsWhitelist` above,
-            // so all options for `bingAiClient` will be allowed to be changed.
-            // If set, ONLY the options listed here will be allowed to be changed.
-            // In this example, each array element is a string representing a property in `chatGptClient` above.
-        },
-    },
-    // Options for the CLI app
-    cliOptions: {
-        // (Optional) Possible options: "chatgpt", "bing".
-        // clientToUse: 'bing',
-    },
-};

src/BingImageGen.py

@@ -1,184 +0,0 @@
-"""
-Code derived from:
-https://github.com/acheong08/EdgeGPT/blob/f940cecd24a4818015a8b42a2443dd97c3c2a8f4/src/ImageGen.py
-"""
-
-from log import getlogger
-from uuid import uuid4
-import os
-import contextlib
-import aiohttp
-import asyncio
-import random
-import requests
-import regex
-
-logger = getlogger()
-
-BING_URL = "https://www.bing.com"
-# Generate random IP between range 13.104.0.0/14
-FORWARDED_IP = (
-    f"13.{random.randint(104, 107)}.{random.randint(0, 255)}.{random.randint(0, 255)}"
-)
-HEADERS = {
-    "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7",  # noqa: E501
-    "accept-language": "en-US,en;q=0.9",
-    "cache-control": "max-age=0",
-    "content-type": "application/x-www-form-urlencoded",
-    "referrer": "https://www.bing.com/images/create/",
-    "origin": "https://www.bing.com",
-    "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36 Edg/110.0.1587.63",  # noqa: E501
-    "x-forwarded-for": FORWARDED_IP,
-}
-
-
-class ImageGenAsync:
-    """
-    Image generation by Microsoft Bing
-    Parameters:
-        auth_cookie: str
-    """
-
-    def __init__(self, auth_cookie: str, quiet: bool = True) -> None:
-        self.session = aiohttp.ClientSession(
-            headers=HEADERS,
-            cookies={"_U": auth_cookie},
-        )
-        self.quiet = quiet
-
-    async def __aenter__(self):
-        return self
-
-    async def __aexit__(self, *excinfo) -> None:
-        await self.session.close()
-
-    def __del__(self):
-        try:
-            loop = asyncio.get_running_loop()
-        except RuntimeError:
-            loop = asyncio.new_event_loop()
-            asyncio.set_event_loop(loop)
-        loop.run_until_complete(self._close())
-
-    async def _close(self):
-        await self.session.close()
-
-    async def get_images(self, prompt: str) -> list:
-        """
-        Fetches image links from Bing
-        Parameters:
-            prompt: str
-        """
-        if not self.quiet:
-            print("Sending request...")
-        url_encoded_prompt = requests.utils.quote(prompt)
-        # https://www.bing.com/images/create?q=<PROMPT>&rt=3&FORM=GENCRE
-        url = f"{BING_URL}/images/create?q={url_encoded_prompt}&rt=4&FORM=GENCRE"
-        async with self.session.post(url, allow_redirects=False) as response:
-            content = await response.text()
-            if "this prompt has been blocked" in content.lower():
-                raise Exception(
-                    "Your prompt has been blocked by Bing. Try to change any bad words and try again.",  # noqa: E501
-                )
-            if response.status != 302:
-                # if rt4 fails, try rt3
-                url = (
-                    f"{BING_URL}/images/create?q={url_encoded_prompt}&rt=3&FORM=GENCRE"
-                )
-                async with self.session.post(
-                    url,
-                    allow_redirects=False,
-                    timeout=200,
-                ) as response3:
-                    if response3.status != 302:
-                        print(f"ERROR: {response3.text}")
-                        raise Exception("Redirect failed")
-                    response = response3
-        # Get redirect URL
-        redirect_url = response.headers["Location"].replace("&nfy=1", "")
-        request_id = redirect_url.split("id=")[-1]
-        await self.session.get(f"{BING_URL}{redirect_url}")
-        # https://www.bing.com/images/create/async/results/{ID}?q={PROMPT}
-        polling_url = f"{BING_URL}/images/create/async/results/{request_id}?q={url_encoded_prompt}"  # noqa: E501
-        # Poll for results
-        if not self.quiet:
-            print("Waiting for results...")
-        while True:
-            if not self.quiet:
-                print(".", end="", flush=True)
-            # By default, timeout is 300s, change as needed
-            response = await self.session.get(polling_url)
-            if response.status != 200:
-                raise Exception("Could not get results")
-            content = await response.text()
-            if content and content.find("errorMessage") == -1:
-                break
-
-            await asyncio.sleep(1)
-            continue
-        # Use regex to search for src=""
-        image_links = regex.findall(r'src="([^"]+)"', content)
-        # Remove size limit
-        normal_image_links = [link.split("?w=")[0] for link in image_links]
-        # Remove duplicates
-        normal_image_links = list(set(normal_image_links))
-
-        # Bad images
-        bad_images = [
-            "https://r.bing.com/rp/in-2zU3AJUdkgFe7ZKv19yPBHVs.png",
-            "https://r.bing.com/rp/TX9QuO3WzcCJz1uaaSwQAz39Kb0.jpg",
-        ]
-        for im in normal_image_links:
-            if im in bad_images:
-                raise Exception("Bad images")
-        # No images
-        if not normal_image_links:
-            raise Exception("No images")
-        return normal_image_links
-
-    async def save_images(
-        self, links: list, output_dir: str, output_four_images: bool
-    ) -> list:
-        """
-        Saves images to output directory
-        """
-        with contextlib.suppress(FileExistsError):
-            os.mkdir(output_dir)
-
-        image_path_list = []
-
-        if output_four_images:
-            for link in links:
-                image_name = str(uuid4())
-                image_path = os.path.join(output_dir, f"{image_name}.jpeg")
-                try:
-                    async with self.session.get(
-                        link, raise_for_status=True
-                    ) as response:
-                        with open(image_path, "wb") as output_file:
-                            async for chunk in response.content.iter_chunked(8192):
-                                output_file.write(chunk)
-                    image_path_list.append(image_path)
-                except aiohttp.client_exceptions.InvalidURL as url_exception:
-                    raise Exception(
-                        "Inappropriate contents found in the generated images. Please try again or try another prompt."
-                    ) from url_exception  # noqa: E501
-        else:
-            image_name = str(uuid4())
-            if links:
-                link = links.pop()
-                try:
-                    async with self.session.get(
-                        link, raise_for_status=True
-                    ) as response:
-                        image_path = os.path.join(output_dir, f"{image_name}.jpeg")
-                        with open(image_path, "wb") as output_file:
-                            async for chunk in response.content.iter_chunked(8192):
-                                output_file.write(chunk)
-                        image_path_list.append(image_path)
-                except aiohttp.client_exceptions.InvalidURL as url_exception:
-                    raise Exception(
-                        "Inappropriate contents found in the generated images. Please try again or try another prompt."
-                    ) from url_exception  # noqa: E501
-
-        return image_path_list

src/askgpt.py

@@ -1,40 +0,0 @@
-import aiohttp
-import asyncio
-import json
-from log import getlogger
-
-logger = getlogger()
-
-
-class askGPT:
-    def __init__(self, session: aiohttp.ClientSession):
-        self.session = session
-
-    async def oneTimeAsk(self, prompt: str, api_endpoint: str, headers: dict, temperature: float = 0.8) -> str:
-        jsons = {
-            "model": "gpt-3.5-turbo",
-            "messages": [
-                {
-                    "role": "user",
-                    "content": prompt,
-                },
-            ],
-            "temperature": temperature,
-        }
-        max_try = 2
-        while max_try > 0:
-            try:
-                async with self.session.post(
-                    url=api_endpoint, json=jsons, headers=headers, timeout=120
-                ) as response:
-                    status_code = response.status
-                    if not status_code == 200:
-                        # print failed reason
-                        logger.warning(str(response.reason))
-                        max_try = max_try - 1
-                        continue
-
-                    resp = await response.read()
-                    return json.loads(resp)["choices"][0]["message"]["content"]
-            except Exception as e:
-                raise Exception(e)

src/bard.py

@@ -1,142 +0,0 @@
-"""
-Code derived from: https://github.com/acheong08/Bard/blob/main/src/Bard.py
-"""
-
-import random
-import string
-import re
-import json
-import httpx
-
-
-class Bardbot:
-    """
-    A class to interact with Google Bard.
-    Parameters
-        session_id: str
-            The __Secure-1PSID cookie.
-        timeout: int
-            Request timeout in seconds.
-        session: requests.Session
-            Requests session object.
-    """
-
-    __slots__ = [
-        "headers",
-        "_reqid",
-        "SNlM0e",
-        "conversation_id",
-        "response_id",
-        "choice_id",
-        "session_id",
-        "session",
-        "timeout",
-    ]
-
-    def __init__(
-        self,
-        session_id: str,
-        timeout: int = 20,
-    ):
-        headers = {
-            "Host": "bard.google.com",
-            "X-Same-Domain": "1",
-            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.114 Safari/537.36",
-            "Content-Type": "application/x-www-form-urlencoded;charset=UTF-8",
-            "Origin": "https://bard.google.com",
-            "Referer": "https://bard.google.com/",
-        }
-        self._reqid = int("".join(random.choices(string.digits, k=4)))
-        self.conversation_id = ""
-        self.response_id = ""
-        self.choice_id = ""
-        self.session_id = session_id
-        self.session = httpx.AsyncClient()
-        self.session.headers = headers
-        self.session.cookies.set("__Secure-1PSID", session_id)
-        self.timeout = timeout
-
-    @classmethod
-    async def create(
-        cls,
-        session_id: str,
-        timeout: int = 20,
-    ) -> "Bardbot":
-        instance = cls(session_id, timeout)
-        instance.SNlM0e = await instance.__get_snlm0e()
-        return instance
-
-    async def __get_snlm0e(self):
-        # Find "SNlM0e":"<ID>"
-        if not self.session_id or self.session_id[-1] != ".":
-            raise Exception(
-                "__Secure-1PSID value must end with a single dot. Enter correct __Secure-1PSID value.",
-            )
-        resp = await self.session.get(
-            "https://bard.google.com/",
-            timeout=10,
-        )
-        if resp.status_code != 200:
-            raise Exception(
-                f"Response code not 200. Response Status is {resp.status_code}",
-            )
-        SNlM0e = re.search(r"SNlM0e\":\"(.*?)\"", resp.text)
-        if not SNlM0e:
-            raise Exception(
-                "SNlM0e value not found in response. Check __Secure-1PSID value.",
-            )
-        return SNlM0e.group(1)
-
-    async def ask(self, message: str) -> dict:
-        """
-        Send a message to Google Bard and return the response.
-        :param message: The message to send to Google Bard.
-        :return: A dict containing the response from Google Bard.
-        """
-        # url params
-        params = {
-            "bl": "boq_assistant-bard-web-server_20230523.13_p0",
-            "_reqid": str(self._reqid),
-            "rt": "c",
-        }
-
-        # message arr -> data["f.req"]. Message is double json stringified
-        message_struct = [
-            [message],
-            None,
-            [self.conversation_id, self.response_id, self.choice_id],
-        ]
-        data = {
-            "f.req": json.dumps([None, json.dumps(message_struct)]),
-            "at": self.SNlM0e,
-        }
-        resp = await self.session.post(
-            "https://bard.google.com/_/BardChatUi/data/assistant.lamda.BardFrontendService/StreamGenerate",
-            params=params,
-            data=data,
-            timeout=self.timeout,
-        )
-        chat_data = json.loads(resp.content.splitlines()[3])[0][2]
-        if not chat_data:
-            return {"content": f"Google Bard encountered an error: {resp.content}."}
-        json_chat_data = json.loads(chat_data)
-        images = set()
-        if len(json_chat_data) >= 3:
-            if len(json_chat_data[4][0]) >= 4:
-                if json_chat_data[4][0][4]:
-                    for img in json_chat_data[4][0][4]:
-                        images.add(img[0][0][0])
-        results = {
-            "content": json_chat_data[0][0],
-            "conversation_id": json_chat_data[1][0],
-            "response_id": json_chat_data[1][1],
-            "factualityQueries": json_chat_data[3],
-            "textQuery": json_chat_data[2][0] if json_chat_data[2] is not None else "",
-            "choices": [{"id": i[0], "content": i[1]} for i in json_chat_data[4]],
-            "images": images,
-        }
-        self.conversation_id = results["conversation_id"]
-        self.response_id = results["response_id"]
-        self.choice_id = results["choices"][0]["id"]
-        self._reqid += 100000
-        return results

src/chatgpt_bing.py

@@ -1,82 +0,0 @@
-import aiohttp
-import asyncio
-from log import getlogger
-
-logger = getlogger()
-
-
-class GPTBOT:
-    def __init__(
-        self,
-        api_endpoint: str,
-        session: aiohttp.ClientSession,
-    ) -> None:
-        self.api_endpoint = api_endpoint
-        self.session = session
-
-    async def queryBing(self, payload: dict) -> dict:
-        resp = await self.session.post(url=self.api_endpoint, json=payload, timeout=300)
-        status_code = resp.status
-        if not status_code == 200:
-            logger.warning(str(resp.reason))
-            raise Exception(str(resp.reason))
-        return await resp.json()
-
-    async def queryChatGPT(self, payload: dict) -> dict:
-        resp = await self.session.post(url=self.api_endpoint, json=payload, timeout=300)
-        status_code = resp.status
-        if not status_code == 200:
-            logger.warning(str(resp.reason))
-            raise Exception(str(resp.reason))
-        return await resp.json()
-
-
-async def test_chatgpt():
-    session = aiohttp.ClientSession()
-    gptbot = GPTBOT(api_endpoint="http://localhost:3000/conversation", session=session)
-    payload = {}
-    while True:
-        prompt = input("Bob: ")
-        payload["message"] = prompt
-        payload.update(
-            {
-                "clientOptions": {
-                    "clientToUse": "chatgpt",
-                }
-            }
-        )
-        resp = await gptbot.queryChatGPT(payload)
-        content = resp["response"]
-        payload["conversationId"] = resp["conversationId"]
-        payload["parentMessageId"] = resp["messageId"]
-        print("GPT: " + content)
-
-
-async def test_bing():
-    session = aiohttp.ClientSession()
-    gptbot = GPTBOT(api_endpoint="http://localhost:3000/conversation", session=session)
-    payload = {}
-    while True:
-        prompt = input("Bob: ")
-        payload["message"] = prompt
-        payload.update(
-            {
-                "clientOptions": {
-                    "clientToUse": "bing",
-                }
-            }
-        )
-        resp = await gptbot.queryBing(payload)
-        content = "".join(
-            [body["text"] for body in resp["details"]["adaptiveCards"][0]["body"]]
-        )
-        payload["conversationSignature"] = resp["conversationSignature"]
-        payload["conversationId"] = resp["conversationId"]
-        payload["clientId"] = resp["clientId"]
-        payload["invocationId"] = resp["invocationId"]
-        print("Bing: " + content)
-
-
-# if __name__ == "__main__":
-# asyncio.run(test_chatgpt())
-# asyncio.run(test_bing())

src/flowise.py

@@ -1,14 +1,16 @@
-import aiohttp
-# need refactor: flowise_api does not support context converstaion, temporarily set it aside
+import httpx
 
-async def flowise_query(api_url: str, prompt: str, session: aiohttp.ClientSession, headers: dict = None) -> str:
+
+async def flowise_query(
+    api_url: str, prompt: str, session: httpx.AsyncClient, headers: dict = None
+) -> str:
     """
     Sends a query to the Flowise API and returns the response.
 
     Args:
         api_url (str): The URL of the Flowise API.
         prompt (str): The question to ask the API.
-        session (aiohttp.ClientSession): The aiohttp session to use.
+        session (httpx.AsyncClient): The httpx session to use.
         headers (dict, optional): The headers to use. Defaults to None.
 
     Returns:
@@ -16,19 +18,23 @@ async def flowise_query(api_url: str, prompt: str, session: aiohttp.ClientSessio
     """
     if headers:
         response = await session.post(
-            api_url, json={"question": prompt}, headers=headers
+            api_url,
+            json={"question": prompt},
+            headers=headers,
         )
     else:
         response = await session.post(api_url, json={"question": prompt})
-    return await response.json()
+    return response.text
+
 
 async def test():
-    session = aiohttp.ClientSession()
+    async with httpx.AsyncClient() as session:
         api_url = "http://127.0.0.1:3000/api/v1/prediction/683f9ea8-e670-4d51-b657-0886eab9cea1"
         prompt = "What is the capital of France?"
         response = await flowise_query(api_url, prompt, session)
         print(response)
 
+
 if __name__ == "__main__":
     import asyncio
 

src/gptbot.py

@@ -0,0 +1,344 @@
+"""
+Code derived from https://github.com/acheong08/ChatGPT/blob/main/src/revChatGPT/V3.py
+A simple wrapper for the official ChatGPT API
+"""
+import json
+from typing import AsyncGenerator
+from tenacity import retry, wait_random_exponential, stop_after_attempt
+import httpx
+import tiktoken
+
+
+ENGINES = [
+    "gpt-3.5-turbo",
+    "gpt-3.5-turbo-16k",
+    "gpt-3.5-turbo-0613",
+    "gpt-3.5-turbo-16k-0613",
+    "gpt-4",
+    "gpt-4-32k",
+    "gpt-4-0613",
+    "gpt-4-32k-0613",
+]
+
+
+class Chatbot:
+    """
+    Official ChatGPT API
+    """
+
+    def __init__(
+        self,
+        aclient: httpx.AsyncClient,
+        api_key: str,
+        api_url: str = None,
+        engine: str = None,
+        timeout: float = None,
+        max_tokens: int = None,
+        temperature: float = 0.8,
+        top_p: float = 1.0,
+        presence_penalty: float = 0.0,
+        frequency_penalty: float = 0.0,
+        reply_count: int = 1,
+        truncate_limit: int = None,
+        system_prompt: str = None,
+    ) -> None:
+        """
+        Initialize Chatbot with API key (from https://platform.openai.com/account/api-keys)
+        """
+        self.engine: str = engine or "gpt-3.5-turbo"
+        self.api_key: str = api_key
+        self.api_url: str = api_url or "https://api.openai.com/v1/chat/completions"
+        self.system_prompt: str = (
+            system_prompt
+            or "You are ChatGPT, \
+            a large language model trained by OpenAI. Respond conversationally"
+        )
+        self.max_tokens: int = max_tokens or (
+            31000
+            if "gpt-4-32k" in engine
+            else 7000
+            if "gpt-4" in engine
+            else 15000
+            if "gpt-3.5-turbo-16k" in engine
+            else 4000
+        )
+        self.truncate_limit: int = truncate_limit or (
+            30500
+            if "gpt-4-32k" in engine
+            else 6500
+            if "gpt-4" in engine
+            else 14500
+            if "gpt-3.5-turbo-16k" in engine
+            else 3500
+        )
+        self.temperature: float = temperature
+        self.top_p: float = top_p
+        self.presence_penalty: float = presence_penalty
+        self.frequency_penalty: float = frequency_penalty
+        self.reply_count: int = reply_count
+        self.timeout: float = timeout
+
+        self.aclient = aclient
+
+        self.conversation: dict[str, list[dict]] = {
+            "default": [
+                {
+                    "role": "system",
+                    "content": system_prompt,
+                },
+            ],
+        }
+
+        if self.get_token_count("default") > self.max_tokens:
+            raise Exception("System prompt is too long")
+
+    def add_to_conversation(
+        self,
+        message: str,
+        role: str,
+        convo_id: str = "default",
+    ) -> None:
+        """
+        Add a message to the conversation
+        """
+        self.conversation[convo_id].append({"role": role, "content": message})
+
+    def __truncate_conversation(self, convo_id: str = "default") -> None:
+        """
+        Truncate the conversation
+        """
+        while True:
+            if (
+                self.get_token_count(convo_id) > self.truncate_limit
+                and len(self.conversation[convo_id]) > 1
+            ):
+                # Don't remove the first message
+                self.conversation[convo_id].pop(1)
+            else:
+                break
+
+    # https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb
+    def get_token_count(self, convo_id: str = "default") -> int:
+        """
+        Get token count
+        """
+        _engine = self.engine
+        if self.engine not in ENGINES:
+            # use gpt-3.5-turbo to caculate token
+            _engine = "gpt-3.5-turbo"
+        tiktoken.model.MODEL_TO_ENCODING["gpt-4"] = "cl100k_base"
+
+        encoding = tiktoken.encoding_for_model(_engine)
+
+        num_tokens = 0
+        for message in self.conversation[convo_id]:
+            # every message follows <im_start>{role/name}\n{content}<im_end>\n
+            num_tokens += 5
+            for key, value in message.items():
+                if value:
+                    num_tokens += len(encoding.encode(value))
+                if key == "name":  # if there's a name, the role is omitted
+                    num_tokens += 5  # role is always required and always 1 token
+        num_tokens += 5  # every reply is primed with <im_start>assistant
+        return num_tokens
+
+    def get_max_tokens(self, convo_id: str) -> int:
+        """
+        Get max tokens
+        """
+        return self.max_tokens - self.get_token_count(convo_id)
+
+    async def ask_stream_async(
+        self,
+        prompt: str,
+        role: str = "user",
+        convo_id: str = "default",
+        model: str = None,
+        pass_history: bool = True,
+        **kwargs,
+    ) -> AsyncGenerator[str, None]:
+        """
+        Ask a question
+        """
+        # Make conversation if it doesn't exist
+        if convo_id not in self.conversation:
+            self.reset(convo_id=convo_id, system_prompt=self.system_prompt)
+        self.add_to_conversation(prompt, "user", convo_id=convo_id)
+        self.__truncate_conversation(convo_id=convo_id)
+        # Get response
+        async with self.aclient.stream(
+            "post",
+            self.api_url,
+            headers={"Authorization": f"Bearer {kwargs.get('api_key', self.api_key)}"},
+            json={
+                "model": model or self.engine,
+                "messages": self.conversation[convo_id] if pass_history else [prompt],
+                "stream": True,
+                # kwargs
+                "temperature": kwargs.get("temperature", self.temperature),
+                "top_p": kwargs.get("top_p", self.top_p),
+                "presence_penalty": kwargs.get(
+                    "presence_penalty",
+                    self.presence_penalty,
+                ),
+                "frequency_penalty": kwargs.get(
+                    "frequency_penalty",
+                    self.frequency_penalty,
+                ),
+                "n": kwargs.get("n", self.reply_count),
+                "user": role,
+                "max_tokens": min(
+                    self.get_max_tokens(convo_id=convo_id),
+                    kwargs.get("max_tokens", self.max_tokens),
+                ),
+            },
+            timeout=kwargs.get("timeout", self.timeout),
+        ) as response:
+            if response.status_code != 200:
+                await response.aread()
+                raise Exception(
+                    f"{response.status_code} {response.reason_phrase} {response.text}",
+                )
+
+            response_role: str = ""
+            full_response: str = ""
+            async for line in response.aiter_lines():
+                line = line.strip()
+                if not line:
+                    continue
+                # Remove "data: "
+                line = line[6:]
+                if line == "[DONE]":
+                    break
+                resp: dict = json.loads(line)
+                if "error" in resp:
+                    raise Exception(f"{resp['error']}")
+                choices = resp.get("choices")
+                if not choices:
+                    continue
+                delta: dict[str, str] = choices[0].get("delta")
+                if not delta:
+                    continue
+                if "role" in delta:
+                    response_role = delta["role"]
+                if "content" in delta:
+                    content: str = delta["content"]
+                    full_response += content
+                    yield content
+        self.add_to_conversation(full_response, response_role, convo_id=convo_id)
+
+    async def ask_async(
+        self,
+        prompt: str,
+        role: str = "user",
+        convo_id: str = "default",
+        model: str = None,
+        pass_history: bool = True,
+        **kwargs,
+    ) -> str:
+        """
+        Non-streaming ask
+        """
+        response = self.ask_stream_async(
+            prompt=prompt,
+            role=role,
+            convo_id=convo_id,
+            model=model,
+            pass_history=pass_history,
+            **kwargs,
+        )
+        full_response: str = "".join([r async for r in response])
+        return full_response
+
+    async def ask_async_v2(
+        self,
+        prompt: str,
+        role: str = "user",
+        convo_id: str = "default",
+        model: str = None,
+        pass_history: bool = True,
+        **kwargs,
+    ) -> str:
+        # Make conversation if it doesn't exist
+        if convo_id not in self.conversation:
+            self.reset(convo_id=convo_id, system_prompt=self.system_prompt)
+        self.add_to_conversation(prompt, "user", convo_id=convo_id)
+        self.__truncate_conversation(convo_id=convo_id)
+        # Get response
+        response = await self.aclient.post(
+            url=self.api_url,
+            headers={"Authorization": f"Bearer {kwargs.get('api_key', self.api_key)}"},
+            json={
+                "model": model or self.engine,
+                "messages": self.conversation[convo_id] if pass_history else [prompt],
+                # kwargs
+                "temperature": kwargs.get("temperature", self.temperature),
+                "top_p": kwargs.get("top_p", self.top_p),
+                "presence_penalty": kwargs.get(
+                    "presence_penalty",
+                    self.presence_penalty,
+                ),
+                "frequency_penalty": kwargs.get(
+                    "frequency_penalty",
+                    self.frequency_penalty,
+                ),
+                "n": kwargs.get("n", self.reply_count),
+                "user": role,
+                "max_tokens": min(
+                    self.get_max_tokens(convo_id=convo_id),
+                    kwargs.get("max_tokens", self.max_tokens),
+                ),
+            },
+            timeout=kwargs.get("timeout", self.timeout),
+        )
+        resp = response.json()
+        full_response = resp["choices"][0]["message"]["content"]
+        self.add_to_conversation(
+            full_response, resp["choices"][0]["message"]["role"], convo_id=convo_id
+        )
+        return full_response
+
+    def reset(self, convo_id: str = "default", system_prompt: str = None) -> None:
+        """
+        Reset the conversation
+        """
+        self.conversation[convo_id] = [
+            {"role": "system", "content": system_prompt or self.system_prompt},
+        ]
+
+    @retry(wait=wait_random_exponential(min=2, max=5), stop=stop_after_attempt(3))
+    async def oneTimeAsk(
+        self,
+        prompt: str,
+        role: str = "user",
+        model: str = None,
+        **kwargs,
+    ) -> str:
+        response = await self.aclient.post(
+            url=self.api_url,
+            json={
+                "model": model or self.engine,
+                "messages": [
+                    {
+                        "role": role,
+                        "content": prompt,
+                    }
+                ],
+                # kwargs
+                "temperature": kwargs.get("temperature", self.temperature),
+                "top_p": kwargs.get("top_p", self.top_p),
+                "presence_penalty": kwargs.get(
+                    "presence_penalty",
+                    self.presence_penalty,
+                ),
+                "frequency_penalty": kwargs.get(
+                    "frequency_penalty",
+                    self.frequency_penalty,
+                ),
+                "user": role,
+            },
+            headers={"Authorization": f"Bearer {kwargs.get('api_key', self.api_key)}"},
+            timeout=kwargs.get("timeout", self.timeout),
+        )
+        resp = response.json()
+        return resp["choices"][0]["message"]["content"]

src/imagegen.py

@@ -0,0 +1,106 @@
+import httpx
+from pathlib import Path
+import uuid
+import base64
+import io
+from PIL import Image
+
+
+async def get_images(
+    aclient: httpx.AsyncClient,
+    url: str,
+    prompt: str,
+    backend_type: str,
+    output_path: str,
+    **kwargs,
+) -> list[str]:
+    timeout = kwargs.get("timeout", 180.0)
+    if backend_type == "openai":
+        resp = await aclient.post(
+            url,
+            headers={
+                "Content-Type": "application/json",
+                "Authorization": f"Bearer {kwargs.get('api_key')}",
+            },
+            json={
+                "prompt": prompt,
+                "n": kwargs.get("n", 1),
+                "size": kwargs.get("size", "512x512"),
+                "response_format": "b64_json",
+            },
+            timeout=timeout,
+        )
+        if resp.status_code == 200:
+            b64_datas = []
+            for data in resp.json()["data"]:
+                b64_datas.append(data["b64_json"])
+            return save_images_b64(b64_datas, output_path, **kwargs)
+        else:
+            raise Exception(
+                f"{resp.status_code} {resp.reason_phrase} {resp.text}",
+            )
+    elif backend_type == "sdwui":
+        resp = await aclient.post(
+            url,
+            headers={
+                "Content-Type": "application/json",
+            },
+            json={
+                "prompt": prompt,
+                "sampler_name": kwargs.get("sampler_name", "Euler a"),
+                "cfg_scale": kwargs.get("cfg_scale", 7),
+                "batch_size": kwargs.get("n", 1),
+                "steps": kwargs.get("steps", 20),
+                "width": kwargs.get("width", 512),
+                "height": kwargs.get("height", 512),
+            },
+            timeout=timeout,
+        )
+        if resp.status_code == 200:
+            b64_datas = resp.json()["images"]
+            return save_images_b64(b64_datas, output_path, **kwargs)
+        else:
+            raise Exception(
+                f"{resp.status_code} {resp.reason_phrase} {resp.text}",
+            )
+    elif backend_type == "localai":
+        resp = await aclient.post(
+            url,
+            headers={
+                "Content-Type": "application/json",
+                "Authorization": f"Bearer {kwargs.get('api_key')}",
+            },
+            json={
+                "prompt": prompt,
+                "size": kwargs.get("size", "512x512"),
+            },
+            timeout=timeout,
+        )
+        if resp.status_code == 200:
+            image_url = resp.json()["data"][0]["url"]
+            return await save_image_url(image_url, aclient, output_path, **kwargs)
+
+
+def save_images_b64(b64_datas: list[str], path: Path, **kwargs) -> list[str]:
+    images_path_list = []
+    for b64_data in b64_datas:
+        image_path = path / (
+            str(uuid.uuid4()) + "." + kwargs.get("image_format", "jpeg")
+        )
+        img = Image.open(io.BytesIO(base64.decodebytes(bytes(b64_data, "utf-8"))))
+        img.save(image_path)
+        images_path_list.append(image_path)
+    return images_path_list
+
+
+async def save_image_url(
+    url: str, aclient: httpx.AsyncClient, path: Path, **kwargs
+) -> list[str]:
+    images_path_list = []
+    r = await aclient.get(url)
+    image_path = path / (str(uuid.uuid4()) + "." + kwargs.get("image_format", "jpeg"))
+    if r.status_code == 200:
+        img = Image.open(io.BytesIO(r.content))
+        img.save(image_path)
+        images_path_list.append(image_path)
+    return images_path_list

src/lc_manager.py

@@ -0,0 +1,200 @@
+import sqlite3
+import sys
+from log import getlogger
+
+logger = getlogger()
+
+
+class LCManager:
+    def __init__(self):
+        try:
+            self.conn = sqlite3.connect("manage_db")
+            self.c = self.conn.cursor()
+            self.c.execute(
+                """
+                CREATE TABLE IF NOT EXISTS lc_commands (
+                    command_id INTEGER PRIMARY KEY AUTOINCREMENT,
+                    username TEXT NOT NULL,
+                    agent TEXT NOT NULL,
+                    api_url TEXT NOT NULL,
+                    api_key TEXT,
+                    permission INTEGER NOT NULL
+                )
+                """
+            )
+            self.conn.commit()
+        except Exception as e:
+            logger.error(e, exc_info=True)
+            sys.exit(1)
+
+    def add_command(
+        self,
+        username: str,
+        agent: str,
+        api_url: str,
+        api_key: str = None,
+        permission: int = 0,
+    ) -> None:
+        # check if username and agent already exists
+        self.c.execute(
+            """
+            SELECT username, agent FROM lc_commands
+            WHERE username = ? AND agent = ?
+            """,
+            (username, agent),
+        )
+        if self.c.fetchone() is not None:
+            raise Exception("agent already exists")
+
+        self.c.execute(
+            """
+            INSERT INTO lc_commands (username, agent, api_url, api_key, permission)
+            VALUES (?, ?, ?, ?, ?)
+            """,
+            (username, agent, api_url, api_key, permission),
+        )
+        self.conn.commit()
+
+    def get_command_api_url(self, username: str, agent: str) -> list[any]:
+        self.c.execute(
+            """
+            SELECT api_url FROM lc_commands
+            WHERE username = ? AND agent = ?
+            """,
+            (username, agent),
+        )
+        return self.c.fetchall()
+
+    def get_command_api_key(self, username: str, agent: str) -> list[any]:
+        self.c.execute(
+            """
+            SELECT api_key FROM lc_commands
+            WHERE username = ? AND agent = ?
+            """,
+            (username, agent),
+        )
+        return self.c.fetchall()
+
+    def get_command_permission(self, username: str, agent: str) -> list[any]:
+        self.c.execute(
+            """
+            SELECT permission FROM lc_commands
+            WHERE username = ? AND agent = ?
+            """,
+            (username, agent),
+        )
+        return self.c.fetchall()
+
+    def get_command_agent(self, username: str) -> list[any]:
+        self.c.execute(
+            """
+            SELECT agent FROM lc_commands
+            WHERE username = ?
+            """,
+            (username,),
+        )
+        return self.c.fetchall()
+
+    def get_specific_by_username(self, username: str) -> list[any]:
+        self.c.execute(
+            """
+            SELECT * FROM lc_commands
+            WHERE username = ?
+            """,
+            (username,),
+        )
+        return self.c.fetchall()
+
+    def get_specific_by_agent(self, agent: str) -> list[any]:
+        self.c.execute(
+            """
+            SELECT * FROM lc_commands
+            WHERE agent = ?
+            """,
+            (agent,),
+        )
+        return self.c.fetchall()
+
+    def get_all(self) -> list[any]:
+        self.c.execute(
+            """
+            SELECT * FROM lc_commands
+            """
+        )
+        return self.c.fetchall()
+
+    def update_command_api_url(self, username: str, agent: str, api_url: str) -> None:
+        self.c.execute(
+            """
+            UPDATE lc_commands
+            SET api_url = ?
+            WHERE username = ? AND agent = ?
+            """,
+            (api_url, username, agent),
+        )
+        self.conn.commit()
+
+    def update_command_api_key(self, username: str, agent: str, api_key: str) -> None:
+        self.c.execute(
+            """
+            UPDATE lc_commands
+            SET api_key = ?
+            WHERE username = ? AND agent = ?
+            """,
+            (api_key, username, agent),
+        )
+        self.conn.commit()
+
+    def update_command_permission(
+        self, username: str, agent: str, permission: int
+    ) -> None:
+        self.c.execute(
+            """
+            UPDATE lc_commands
+            SET permission = ?
+            WHERE username = ? AND agent = ?
+            """,
+            (permission, username, agent),
+        )
+        self.conn.commit()
+
+    def update_command_agent(self, username: str, agent: str, api_url: str) -> None:
+        # check if agent already exists
+        self.c.execute(
+            """
+            SELECT agent FROM lc_commands
+            WHERE agent = ?
+            """,
+            (agent,),
+        )
+        if self.c.fetchone() is not None:
+            raise Exception("agent already exists")
+        self.c.execute(
+            """
+            UPDATE lc_commands
+            SET agent = ?
+            WHERE username = ? AND api_url = ?
+            """,
+            (agent, username, api_url),
+        )
+        self.conn.commit()
+
+    def delete_command(self, username: str, agent: str) -> None:
+        self.c.execute(
+            """
+            DELETE FROM lc_commands
+            WHERE username = ? AND agent = ?
+            """,
+            (username, agent),
+        )
+        self.conn.commit()
+
+    def delete_commands(self, username: str) -> None:
+        self.c.execute(
+            """
+            DELETE FROM lc_commands
+            WHERE username = ?
+            """,
+            (username,),
+        )
+        self.conn.commit()

src/log.py

@@ -1,6 +1,6 @@
 import logging
-from pathlib import Path
 import os
+from pathlib import Path
 
 log_path = Path(os.path.dirname(__file__)).parent / "bot.log"
 
@@ -20,10 +20,10 @@ def getlogger():
 
         # create formatters
         warn_format = logging.Formatter(
-            "%(asctime)s - %(funcName)s - %(levelname)s - %(message)s"
+            "%(asctime)s - %(funcName)s - %(levelname)s - %(message)s",
         )
         error_format = logging.Formatter(
-            "%(asctime)s - %(name)s - %(funcName)s - %(levelname)s - %(message)s"
+            "%(asctime)s - %(name)s - %(funcName)s - %(levelname)s - %(message)s",
         )
         info_format = logging.Formatter("%(asctime)s - %(levelname)s - %(message)s")
 

src/main.py

@@ -2,6 +2,9 @@ import asyncio
 import json
 import os
 from pathlib import Path
+import signal
+import sys
+
 from bot import Bot
 from log import getlogger
 
@@ -12,30 +15,41 @@ async def main():
     need_import_keys = False
     config_path = Path(os.path.dirname(__file__)).parent / "config.json"
     if os.path.isfile(config_path):
-        fp = open(config_path, "r", encoding="utf8")
+        try:
+            fp = open(config_path, encoding="utf8")
             config = json.load(fp)
+        except Exception:
+            logger.error("config.json load error, please check the file")
+            sys.exit(1)
 
         matrix_bot = Bot(
             homeserver=config.get("homeserver"),
             user_id=config.get("user_id"),
             password=config.get("password"),
+            access_token=config.get("access_token"),
             device_id=config.get("device_id"),
             room_id=config.get("room_id"),
-            openai_api_key=config.get("openai_api_key"),
-            api_endpoint=config.get("api_endpoint"),
-            access_token=config.get("access_token"),
-            bard_token=config.get("bard_token"),
-            jailbreakEnabled=config.get("jailbreakEnabled"),
-            bing_auth_cookie=config.get("bing_auth_cookie"),
-            markdown_formatted=config.get("markdown_formatted"),
-            output_four_images=config.get("output_four_images"),
             import_keys_path=config.get("import_keys_path"),
             import_keys_password=config.get("import_keys_password"),
-            flowise_api_url=config.get("flowise_api_url"),
-            flowise_api_key=config.get("flowise_api_key"),
-            pandora_api_endpoint=config.get("pandora_api_endpoint"),
-            pandora_api_model=config.get("pandora_api_model"),
-            temperature=float(config.get("temperature", 0.8)),
+            openai_api_key=config.get("openai_api_key"),
+            gpt_api_endpoint=config.get("gpt_api_endpoint"),
+            gpt_model=config.get("gpt_model"),
+            max_tokens=config.get("max_tokens"),
+            top_p=config.get("top_p"),
+            presence_penalty=config.get("presence_penalty"),
+            frequency_penalty=config.get("frequency_penalty"),
+            reply_count=config.get("reply_count"),
+            system_prompt=config.get("system_prompt"),
+            temperature=config.get("temperature"),
+            lc_admin=config.get("lc_admin"),
+            image_generation_endpoint=config.get("image_generation_endpoint"),
+            image_generation_backend=config.get("image_generation_backend"),
+            image_generation_size=config.get("image_generation_size"),
+            sdwui_steps=config.get("sdwui_steps"),
+            sdwui_sampler_name=config.get("sdwui_sampler_name"),
+            sdwui_cfg_scale=config.get("sdwui_cfg_scale"),
+            image_format=config.get("image_format"),
+            timeout=config.get("timeout"),
         )
         if (
             config.get("import_keys_path")
@@ -48,26 +62,30 @@ async def main():
             homeserver=os.environ.get("HOMESERVER"),
             user_id=os.environ.get("USER_ID"),
             password=os.environ.get("PASSWORD"),
+            access_token=os.environ.get("ACCESS_TOKEN"),
             device_id=os.environ.get("DEVICE_ID"),
             room_id=os.environ.get("ROOM_ID"),
-            openai_api_key=os.environ.get("OPENAI_API_KEY"),
-            api_endpoint=os.environ.get("API_ENDPOINT"),
-            access_token=os.environ.get("ACCESS_TOKEN"),
-            bard_token=os.environ.get("BARD_TOKEN"),
-            jailbreakEnabled=os.environ.get("JAILBREAKENABLED", "false").lower()
-            in ("true", "1", "t"),
-            bing_auth_cookie=os.environ.get("BING_AUTH_COOKIE"),
-            markdown_formatted=os.environ.get("MARKDOWN_FORMATTED", "false").lower()
-            in ("true", "1", "t"),
-            output_four_images=os.environ.get("OUTPUT_FOUR_IMAGES", "false").lower()
-            in ("true", "1", "t"),
             import_keys_path=os.environ.get("IMPORT_KEYS_PATH"),
             import_keys_password=os.environ.get("IMPORT_KEYS_PASSWORD"),
-            flowise_api_url=os.environ.get("FLOWISE_API_URL"),
-            flowise_api_key=os.environ.get("FLOWISE_API_KEY"),
-            pandora_api_endpoint=os.environ.get("PANDORA_API_ENDPOINT"),
-            pandora_api_model=os.environ.get("PANDORA_API_MODEL"),
+            openai_api_key=os.environ.get("OPENAI_API_KEY"),
+            gpt_api_endpoint=os.environ.get("GPT_API_ENDPOINT"),
+            gpt_model=os.environ.get("GPT_MODEL"),
+            max_tokens=int(os.environ.get("MAX_TOKENS", 4000)),
+            top_p=float(os.environ.get("TOP_P", 1.0)),
+            presence_penalty=float(os.environ.get("PRESENCE_PENALTY", 0.0)),
+            frequency_penalty=float(os.environ.get("FREQUENCY_PENALTY", 0.0)),
+            reply_count=int(os.environ.get("REPLY_COUNT", 1)),
+            system_prompt=os.environ.get("SYSTEM_PROMPT"),
             temperature=float(os.environ.get("TEMPERATURE", 0.8)),
+            lc_admin=os.environ.get("LC_ADMIN"),
+            image_generation_endpoint=os.environ.get("IMAGE_GENERATION_ENDPOINT"),
+            image_generation_backend=os.environ.get("IMAGE_GENERATION_BACKEND"),
+            image_generation_size=os.environ.get("IMAGE_GENERATION_SIZE"),
+            sdwui_steps=int(os.environ.get("SDWUI_STEPS", 20)),
+            sdwui_sampler_name=os.environ.get("SDWUI_SAMPLER_NAME"),
+            sdwui_cfg_scale=float(os.environ.get("SDWUI_CFG_SCALE", 7)),
+            image_format=os.environ.get("IMAGE_FORMAT"),
+            timeout=float(os.environ.get("TIMEOUT", 120.0)),
         )
         if (
             os.environ.get("IMPORT_KEYS_PATH")
@@ -79,7 +97,23 @@ async def main():
     if need_import_keys:
         logger.info("start import_keys process, this may take a while...")
         await matrix_bot.import_keys()
-    await matrix_bot.sync_forever(timeout=30000, full_state=True)
+
+    sync_task = asyncio.create_task(
+        matrix_bot.sync_forever(timeout=30000, full_state=True)
+    )
+
+    # handle signal interrupt
+    loop = asyncio.get_running_loop()
+    for signame in ("SIGINT", "SIGTERM"):
+        loop.add_signal_handler(
+            getattr(signal, signame),
+            lambda: asyncio.create_task(matrix_bot.close(sync_task)),
+        )
+
+    if matrix_bot.client.should_upload_keys:
+        await matrix_bot.client.keys_upload()
+
+    await sync_task
 
 
 if __name__ == "__main__":

src/pandora_api.py

@@ -1,110 +0,0 @@
-# API wrapper for https://github.com/pengzhile/pandora/blob/master/doc/HTTP-API.md
-import uuid
-import aiohttp
-import asyncio
-
-
-class Pandora:
-    def __init__(
-        self,
-        api_endpoint: str,
-        clientSession: aiohttp.ClientSession,
-    ) -> None:
-        self.api_endpoint = api_endpoint.rstrip("/")
-        self.session = clientSession
-
-    async def __aenter__(self):
-        return self
-
-    async def __aexit__(self, exc_type, exc_val, exc_tb):
-        await self.session.close()
-
-    async def gen_title(self, data: dict, conversation_id: str) -> None:
-        """
-        data = {
-            "model": "",
-            "message_id": "",
-        }
-        :param data: dict
-        :param conversation_id: str
-        :return: None
-        """
-        api_endpoint = (
-            self.api_endpoint + f"/api/conversation/gen_title/{conversation_id}"
-        )
-        async with self.session.post(api_endpoint, json=data) as resp:
-            return await resp.json()
-
-    async def talk(self, data: dict) -> None:
-        api_endpoint = self.api_endpoint + "/api/conversation/talk"
-        """
-        data = {
-            "prompt": "",
-            "model": "",
-            "parent_message_id": "",
-            "conversation_id": "", # ignore at the first time
-            "stream": True,
-        }
-        :param data: dict
-        :return: None
-        """
-        data["message_id"] = str(uuid.uuid4())
-        async with self.session.post(api_endpoint, json=data) as resp:
-            return await resp.json()
-
-    async def goon(self, data: dict) -> None:
-        """
-        data = {
-            "model": "",
-            "parent_message_id": "",
-            "conversation_id": "",
-            "stream": True,
-        }
-        """
-        api_endpoint = self.api_endpoint + "/api/conversation/goon"
-        async with self.session.post(api_endpoint, json=data) as resp:
-            return await resp.json()
-
-
-async def test():
-    model = "text-davinci-002-render-sha-mobile"
-    api_endpoint = "http://127.0.0.1:8008"
-    async with aiohttp.ClientSession() as session:
-        client = Pandora(api_endpoint, session)
-    conversation_id = None
-    parent_message_id = str(uuid.uuid4())
-    first_time = True
-    async with client:
-        while True:
-            prompt = input("BobMaster: ")
-            if conversation_id:
-                data = {
-                    "prompt": prompt,
-                    "model": model,
-                    "parent_message_id": parent_message_id,
-                    "conversation_id": conversation_id,
-                    "stream": False,
-                }
-            else:
-                data = {
-                    "prompt": prompt,
-                    "model": model,
-                    "parent_message_id": parent_message_id,
-                    "stream": False,
-                }
-            response = await client.talk(data)
-            conversation_id = response["conversation_id"]
-            parent_message_id = response["message"]["id"]
-            content = response["message"]["content"]["parts"][0]
-            print("ChatGPT: " + content + "\n")
-            if first_time:
-                first_time = False
-                data = {
-                    "model": model,
-                    "message_id": parent_message_id,
-                }
-                response = await client.gen_title(data, conversation_id)
-
-
-if __name__ == "__main__":
-    asyncio.run(test())

src/send_image.py

@@ -3,11 +3,13 @@ code derived from:
 https://matrix-nio.readthedocs.io/en/latest/examples.html#sending-an-image
 """
 import os
+
 import aiofiles.os
 import magic
-from PIL import Image
-from nio import AsyncClient, UploadResponse
 from log import getlogger
+from nio import AsyncClient
+from nio import UploadResponse
+from PIL import Image
 
 logger = getlogger()
 
@@ -31,13 +33,13 @@ async def send_room_image(client: AsyncClient, room_id: str, image: str):
             filesize=file_stat.st_size,
         )
     if not isinstance(resp, UploadResponse):
-        logger.warning(f"Failed to generate image. Failure response: {resp}")
+        logger.warning(f"Failed to upload image. Failure response: {resp}")
         await client.room_send(
             room_id,
             message_type="m.room.message",
             content={
                 "msgtype": "m.text",
-                "body": f"Failed to generate image. Failure response: {resp}",
+                "body": f"Failed to upload image. Failure response: {resp}",
             },
             ignore_unverified_devices=True,
         )

src/send_message.py

@@ -1,7 +1,6 @@
-from nio import AsyncClient
-import re
 import markdown
 from log import getlogger
+from nio import AsyncClient
 
 logger = getlogger()
 
@@ -13,31 +12,19 @@ async def send_room_message(
     sender_id: str = "",
     user_message: str = "",
     reply_to_event_id: str = "",
-    markdown_formatted: bool = False,
 ) -> None:
-    NORMAL_BODY = content = {
-        "msgtype": "m.text",
-        "body": reply_message,
-    }
     if reply_to_event_id == "":
-        if markdown_formatted:
-            # only format message contains multiline codes, *, |
-            if re.search(r"```|\*|\|", reply_message) is not None:
         content = {
             "msgtype": "m.text",
             "body": reply_message,
             "format": "org.matrix.custom.html",
             "formatted_body": markdown.markdown(
-                        reply_message, extensions=["nl2br", "tables", "fenced_code"]
+                reply_message,
+                extensions=["nl2br", "tables", "fenced_code"],
             ),
         }
     else:
-                content = NORMAL_BODY
-
-        else:
-            content = NORMAL_BODY
-    else:
-        body = r"> <" + sender_id + r"> " + user_message + r"\n\n" + reply_message
+        body = "> <" + sender_id + "> " + user_message + "\n\n" + reply_message
         format = r"org.matrix.custom.html"
         formatted_body = (
             r'<mx-reply><blockquote><a href="https://matrix.to/#/'
@@ -51,7 +38,10 @@ async def send_room_message(
             + r"</a><br>"
             + user_message
             + r"</blockquote></mx-reply>"
-            + reply_message
+            + markdown.markdown(
+                reply_message,
+                extensions=["nl2br", "tables", "fenced_code"],
+            )
         )
 
         content = {