.dockerignore

@@ -18,6 +18,4 @@ __pycache__
 .env.example
 .github
 settings.js
-.vscode
-Dockerfile_dev
-LICENSE
+

.env.example

@@ -1,6 +1,11 @@
-HOMESERVER="https://matrix-client.matrix.org" # required
+# Please remove the option that is blank
+HOMESERVER="https://matrix.xxxxxx.xxxx" # required
 USER_ID="@lullap:xxxxxxxxxxxxx.xxx" # 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
+DEVICE_ID="xxxxxxxxxxxxxx" # required
+ROOM_ID="!FYCmBSkCRUXXXXXXXXX:matrix.XXX.XXX" # Optional, if the property is blank, bot will work on the room it is in (Unencrypted room only as for now)
+OPENAI_API_KEY="xxxxxxxxxxxxxxxxx" # Optional, for !chat and !gpt command
+BING_API_ENDPOINT="xxxxxxxxxxxxxxx" # Optional, for !bing command
+ACCESS_TOKEN="xxxxxxxxxxxxxxxxxxxxx" # Optional, use user_id and password is recommended
+JAILBREAKENABLED="true" # Optional
+BING_AUTH_COOKIE="xxxxxxxxxxxxxxxxxxx" # _U cookie, Optional, for Bing Image Creator

.full-env.example

@@ -1,27 +0,0 @@
-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/workflows/docker-release.yml

@@ -7,26 +7,21 @@ on:
 
 jobs:
   push_to_registry:
-    name: Push Docker image to registry
+    name: Push Docker image to Docker Hub
     runs-on: ubuntu-latest
     steps:
-      - name: Check out the repo
+      -
+        name: Check out the repo
         uses: actions/checkout@v3
-
-      - name: Log in to Docker Hub
+      -
+        name: Log in to Docker Hub
         uses: docker/login-action@v2
         with:
           username: ${{ secrets.DOCKER_USERNAME }}
           password: ${{ secrets.DOCKER_PASSWORD }}
-
-      - name: Login to GitHub Container Registry
-        uses: docker/login-action@v2
-        with:
-          registry: ghcr.io
-          username: ${{ github.repository_owner }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Docker metadata
+      
+      - 
+        name: Docker metadata
         id: meta
         uses: docker/metadata-action@v4
         with:
@@ -34,40 +29,23 @@ jobs:
           tags: |
             type=raw,value=latest
             type=ref,event=tag
-
-      - name: Set up QEMU
+      
+      - 
+        name: Set up QEMU
         uses: docker/setup-qemu-action@v2
 
-      - name: Set up Docker Buildx
+      - 
+        name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v2
-
-      - name: Build and push Docker image(dockerhub)
+      
+      - 
+        name: Build and push Docker image
         uses: docker/build-push-action@v4
         with:
           context: .
-          platforms: linux/amd64,linux/arm64
+          platforms: linux/386,linux/amd64,linux/arm/v6,linux/arm/v7,linux/arm64/v8,linux/ppc64le,linux/s390x
           push: true
           tags: ${{ steps.meta.outputs.tags }}
           labels: ${{ steps.meta.outputs.labels }}
           cache-from: type=gha
-          cache-to: type=gha,mode=max
-
-      - name: Docker metadata(ghcr)
-        id: meta2
-        uses: docker/metadata-action@v4
-        with:
-          images: ghcr.io/hibobmaster/matrixchatgptbot
-          tags: |
-            type=raw,value=latest
-            type=sha,format=long
-
-      - name: Build and push Docker image(ghcr)
-        uses: docker/build-push-action@v4
-        with:
-          context: .
-          platforms: linux/amd64,linux/arm64
-          push: true
-          tags: ${{ steps.meta2.outputs.tags }}
-          labels: ${{ steps.meta2.outputs.labels }}
-          cache-from: type=gha
-          cache-to: type=gha,mode=max
+          cache-to: type=gha,mode=max

.gitignore

@@ -28,7 +28,6 @@ share/python-wheels/
 MANIFEST
 db
 bot.log
-Dockerfile_dev
 
 # image generation folder
 images/
@@ -168,8 +167,3 @@ 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

@@ -1,16 +0,0 @@
-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]

.vscode/settings.json

@@ -0,0 +1,3 @@
+{
+    "python.analysis.typeCheckingMode": "off"
+}

BingImageGen.py

@@ -0,0 +1,315 @@
+"""
+Code derived from:
+https://github.com/acheong08/EdgeGPT/blob/f940cecd24a4818015a8b42a2443dd97c3c2a8f4/src/ImageGen.py
+"""
+from log import getlogger
+
+from typing import Union
+from uuid import uuid4
+import os
+import contextlib
+import aiohttp
+import asyncio
+import random
+import time
+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",
+    "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",
+    "x-forwarded-for": FORWARDED_IP,
+}
+
+# Error messages
+error_timeout = "Your request has timed out."
+error_redirect = "Redirect failed"
+error_blocked_prompt = (
+    "Your prompt has been blocked by Bing. Try to change any bad words and try again."
+)
+error_noresults = "Could not get results"
+error_unsupported_lang = "\nthis language is currently not supported by bing"
+error_bad_images = "Bad images"
+error_no_images = "No images"
+#
+sending_message = "Sending request..."
+wait_message = "Waiting for results..."
+download_message = "\nDownloading images..."
+
+
+
+def debug(debug_file, text_var):
+    """helper function for debug"""
+    with open(f"{debug_file}", "a") as f:
+        f.write(str(text_var))
+
+
+class ImageGen:
+    """
+    Image generation by Microsoft Bing
+    Parameters:3
+        auth_cookie: str
+    """
+
+    def __init__(
+        self, auth_cookie: str, debug_file: Union[str, None] = None, quiet: bool = False
+    ) -> None:
+        self.session: requests.Session = requests.Session()
+        self.session.headers = HEADERS
+        self.session.cookies.set("_U", auth_cookie)
+        self.quiet = quiet
+        self.debug_file = debug_file
+        if self.debug_file:
+            self.debug = partial(debug, self.debug_file)
+
+
+    def get_images(self, prompt: str) -> list:
+        """
+        Fetches image links from Bing
+        Parameters:
+            prompt: str
+        """
+        if not self.quiet:
+            print(sending_message)
+        if self.debug_file:
+            self.debug(sending_message)
+        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"
+        response = self.session.post(url, allow_redirects=False)
+        # check for content waring message
+        if "this prompt has been blocked" in response.text.lower():
+            if self.debug_file:
+                self.debug(f"ERROR: {error_blocked_prompt}")
+            raise Exception(
+                error_blocked_prompt,
+            )
+        if (
+            "we're working hard to offer image creator in more languages"
+            in response.text.lower()
+        ):
+            if self.debug_file:
+                self.debug(f"ERROR: {error_unsupported_lang}")
+            raise Exception(error_unsupported_lang)
+        if response.status_code != 302:
+            # if rt4 fails, try rt3
+            url = f"{BING_URL}/images/create?q={url_encoded_prompt}&rt=3&FORM=GENCRE"
+            response3 = self.session.post(url, allow_redirects=False, timeout=200)
+            if response3.status_code != 302:
+                if self.debug_file:
+                    self.debug(f"ERROR: {error_redirect}")
+                print(f"ERROR: {response3.text}")
+                raise Exception(error_redirect)
+            response = response3
+        # Get redirect URL
+        redirect_url = response.headers["Location"].replace("&nfy=1", "")
+        request_id = redirect_url.split("id=")[-1]
+        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}"
+        # Poll for results
+        if self.debug_file:
+            self.debug("Polling and waiting for result")
+        if not self.quiet:
+            print("Waiting for results...")
+        start_wait = time.time()
+        while True:
+            if int(time.time() - start_wait) > 200:
+                if self.debug_file:
+                    self.debug(f"ERROR: {error_timeout}")
+                raise Exception(error_timeout)
+            if not self.quiet:
+                print(".", end="", flush=True)
+            response = self.session.get(polling_url)
+            if response.status_code != 200:
+                if self.debug_file:
+                    self.debug(f"ERROR: {error_noresults}")
+                raise Exception(error_noresults)
+            if not response.text or response.text.find("errorMessage") != -1:
+                time.sleep(1)
+                continue
+            else:
+                break
+        # Use regex to search for src=""
+        image_links = regex.findall(r'src="([^"]+)"', response.text)
+        # 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 = [
+        #     "https://r.bing.com/rp/in-2zU3AJUdkgFe7ZKv19yPBHVs.png",
+        #     "https://r.bing.com/rp/TX9QuO3WzcCJz1uaaSwQAz39Kb0.jpg",
+        # ]
+        # for img in normal_image_links:
+        #     if img in bad_images:
+        #         raise Exception("Bad images")
+        # No images
+        if not normal_image_links:
+            raise Exception(error_no_images)
+        return normal_image_links
+
+    def save_images(self, links: list, output_dir: str) -> str:
+        """
+        Saves images to output directory
+        """
+        
+        # image name
+        image_name = str(uuid4())
+        # since matrix only support one media attachment per message, we just need one link
+        if links:
+            link = links.pop()
+
+        image_path = os.path.join(output_dir, f"{image_name}.jpeg")
+
+        with contextlib.suppress(FileExistsError):
+            os.mkdir(output_dir)
+        try:
+            with self.session.get(link, stream=True) as response:
+                # save response to file
+                response.raise_for_status()
+                with open(
+                    os.path.join(output_dir, image_path), "wb"
+                ) as output_file:
+                    for chunk in response.iter_content(chunk_size=8192):
+                        output_file.write(chunk)
+            return image_path
+        except requests.exceptions.MissingSchema as url_exception:
+            raise Exception(
+                "Inappropriate contents found in the generated images. Please try again or try another prompt.",
+            ) from url_exception
+
+
+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()
+
+    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.",
+                )
+            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}"
+        # 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) -> str:
+        """
+        Saves images to output directory
+        """
+        if not self.quiet:
+            print("\nDownloading images...")
+        with contextlib.suppress(FileExistsError):
+            os.mkdir(output_dir)
+
+        # image name
+        image_name = str(uuid4())
+        # since matrix only support one media attachment per message, we just need one link
+        if links:
+            link = links.pop()
+
+        image_path = os.path.join(output_dir, f"{image_name}.jpeg")
+        try:
+            async with self.session.get(link, raise_for_status=True) as response:
+                # save response to file
+                with open(image_path, "wb") as output_file:
+                    async for chunk in response.content.iter_chunked(8192):
+                        output_file.write(chunk)
+            return f"{output_dir}/{image_name}.jpeg"
+            
+        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

CHANGELOG.md

@@ -1,37 +0,0 @@
-# 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
-- add `temperature` option to control ChatGPT model temperature
-- remove `jailbreakEnabled` option
-- session isolation for `!chat`, `!bing`, `!bard` command
-- `!new + {chat,bing,bard,talk}` now can be used to create new conversation
-- send some error message to user
-- bug fix and code cleanup

Dockerfile

@@ -1,16 +1,20 @@
 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 cmake make g++ git python3-dev
+RUN sed -i 's|v3\.\d*|edge|' /etc/apk/repositories
+RUN apk update && apk add olm-dev gcc musl-dev libmagic
 COPY requirements.txt /requirements.txt
-RUN pip install -U pip setuptools wheel && pip install --user -r /requirements.txt && rm /requirements.txt
+RUN pip3 install --user -r /requirements.txt && rm /requirements.txt
+
 
 FROM base as runner
-RUN apk update && apk add --no-cache olm-dev libmagic libffi-dev
+LABEL "org.opencontainers.image.source"="https://github.com/hibobmaster/matrix_chatgpt_bot"
+RUN apk update && apk add olm-dev libmagic
 COPY --from=pybuilder /root/.local /usr/local
 COPY . /app
 
+
 FROM runner
 WORKDIR /app
-CMD ["python", "src/main.py"]
+CMD ["python", "main.py"]
+

LICENSE

@@ -1,21 +0,0 @@
-MIT License
-
-Copyright (c) 2023 hibobmaster
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.

README.md

@@ -1,117 +1,79 @@
 ## Introduction
-
-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)
+This is a simple Matrix bot that uses OpenAI's GPT API and Bing AI to generate responses to user inputs. The bot responds to four types of prompts: `!gpt`, `!chat` and `!bing` and `!pic` depending on the first word of the prompt.
+![demo](https://i.imgur.com/kK4rnPf.jpeg "demo")
 
 ## Feature
-
-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)
-
+1. Support openai and Bing AI
+2. Support Bing Image Creator
+3. Support E2E Encrypted Room
 
 ## 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 two empty file, for persist database only<br>
-
+Create an empty file, for persist database only<br>
 ```bash
-touch sync_db manage_db
+touch 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>
 
+To run this application, follow the steps below:<br>
 1. Clone the repository and create virtual environment:
-
 ```
 git clone https://github.com/hibobmaster/matrix_chatgpt_bot.git
 
 python -m venv venv
 source venv/bin/activate
 ```
-
 2. Install the required dependencies:<br>
-
 ```
-pip install -U pip setuptools wheel
 pip install -r requirements.txt
 ```
-
-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>
-
+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>
+If not set:<br>
+`room_id`: bot will work in the room where it is in <br>
+`api_key`: `!chat` command will not work <br>
+`bing_api_endpoint`: `!bing` command will not work <br>
+`bing_auth_cookie`: `!pic` command will not work 
 ```json
 {
-  "homeserver": "YOUR_HOMESERVER",
-  "user_id": "YOUR_USER_ID",
-  "password": "YOUR_PASSWORD",
-  "device_id": "YOUR_DEVICE_ID",
-  "room_id": "YOUR_ROOM_ID",
-  "openai_api_key": "YOUR_API_KEY",
-  "gpt_api_endpoint": "xxxxxxxxx"
+    "homeserver": "YOUR_HOMESERVER",
+    "user_id": "YOUR_USER_ID",
+    "password": "YOUR_PASSWORD",
+    "device_id": "YOUR_DEVICE_ID",
+    "room_id": "YOUR_ROOM_ID",
+    "api_key": "YOUR_API_KEY",
+    "access_token": "xxxxxxxxxxxxxx",
+    "bing_api_endpoint": "xxxxxxxxx",
+    "bing_auth_cookie": "xxxxxxxxxx"
 }
 ```
-
-4. Launch the bot:
-
+4. Start the bot:
 ```
-python src/main.py
+python main.py
 ```
-
 ## Usage
-
-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:
-
+To interact with the bot, simply send a message to the bot in the Matrix room with one of the two prompts:<br>
+- `!gpt` To generate a response using free_endpoint API: 
 ```
 !gpt What is the meaning of life?
 ```
-
 - `!chat` To chat using official api with context conversation
-
 ```
 !chat Can you tell me a joke?
 ```
-
-- `!lc` To chat using langchain api endpoint
+- `!bing` To chat with Bing AI with context conversation
 ```
-!lc All the world is a stage
+!bing Do you know Victor Marie Hugo?
 ```
-- `!pic` To generate an image using openai DALL·E or LocalAI
-
+- `!pic` To generate an image from Microsoft Bing
 ```
 !pic A bridal bouquet made of succulents
 ```
-- `!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>
-
-
-## Thanks
-1. [matrix-nio](https://github.com/poljar/matrix-nio)
-2. [acheong08](https://github.com/acheong08)
-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">
-</a>
+## Bing AI and Image Generation
+https://github.com/waylaidwanderer/node-chatgpt-api <br>
+https://github.com/hibobmaster/matrix_chatgpt_bot/wiki/Bing-AI <br>
+https://github.com/acheong08/EdgeGPT/blob/master/src/ImageGen.py
+![](https://i.imgur.com/KuYddd5.jpg)
+![](https://i.imgur.com/3SRQdN0.jpg)

askgpt.py

@@ -0,0 +1,38 @@
+import aiohttp
+import asyncio
+import json
+from log import getlogger
+logger = getlogger()
+
+class askGPT:
+    def __init__(self):
+        self.session = aiohttp.ClientSession()
+
+    async def oneTimeAsk(self, prompt: str, api_endpoint: str, headers: dict) -> str:
+        jsons = {
+            "model": "gpt-3.5-turbo",
+            "messages": [
+                {
+                    "role": "user",
+                    "content": prompt,
+                },
+            ],
+        }
+        max_try = 3
+        while max_try > 0:
+            try:
+                async with self.session.post(url=api_endpoint,
+                                        json=jsons, headers=headers, timeout=60) as response:
+                    status_code = response.status
+                    if not status_code == 200:
+                        # print failed reason
+                        logger.warning(str(response.reason))
+                        max_try = max_try - 1
+                        # wait 2s
+                        await asyncio.sleep(2)
+                        continue
+
+                    resp = await response.read()
+                    return json.loads(resp)['choices'][0]['message']['content']
+            except Exception as e:
+                logger.error("Error Exception", exc_info=True)

bing.py

@@ -0,0 +1,52 @@
+import aiohttp
+import json
+import asyncio
+from log import getlogger
+# api_endpoint = "http://localhost:3000/conversation"
+logger = getlogger()
+
+
+class BingBot:
+    def __init__(self, bing_api_endpoint: str, jailbreakEnabled: bool = False):
+        self.data = {
+            'clientOptions.clientToUse': 'bing',
+        }
+        self.bing_api_endpoint = bing_api_endpoint
+
+        self.session = aiohttp.ClientSession()
+
+        self.jailbreakEnabled = jailbreakEnabled
+
+        if self.jailbreakEnabled:
+            self.data['jailbreakConversationId'] = json.dumps(True)
+
+    async def ask_bing(self, prompt) -> str:
+        self.data['message'] = prompt
+        max_try = 3
+        while max_try > 0:
+            try:
+                resp = await self.session.post(url=self.bing_api_endpoint, json=self.data, timeout=60)
+                status_code = resp.status
+                body = await resp.read()
+                if not status_code == 200:
+                    # print failed reason
+                    logger.warning(str(resp.reason))
+                    max_try = max_try - 1
+                    # print(await resp.text())
+                    await asyncio.sleep(2)
+                    continue
+                json_body = json.loads(body)
+                if self.jailbreakEnabled:
+                    self.data['jailbreakConversationId'] = json_body['jailbreakConversationId']
+                    self.data['parentMessageId'] = json_body['messageId']
+                else:
+                    self.data['conversationSignature'] = json_body['conversationSignature']
+                    self.data['conversationId'] = json_body['conversationId']
+                    self.data['clientId'] = json_body['clientId']
+                    self.data['invocationId'] = json_body['invocationId']
+                return json_body['response']
+            except Exception as e:
+                logger.error("Error Exception", exc_info=True)
+                print(f"Error: {e}")
+                pass
+        return "Error, please retry"

bot.py

@@ -0,0 +1,600 @@
+import sys
+import asyncio
+import re
+import os
+from functools import partial
+import traceback
+from typing import Optional, Union
+from nio import (
+    AsyncClient,
+    MatrixRoom,
+    RoomMessageText,
+    InviteMemberEvent,
+    MegolmEvent,
+    LoginResponse,
+    JoinError,
+    ToDeviceError,
+    LocalProtocolError,
+    KeyVerificationEvent,
+    KeyVerificationStart,
+    KeyVerificationCancel,
+    KeyVerificationKey,
+    KeyVerificationMac,
+    AsyncClientConfig
+)
+from nio.store.database import SqliteStore
+from askgpt import askGPT
+from send_message import send_room_message
+from v3 import Chatbot
+from log import getlogger
+from bing import BingBot
+from BingImageGen import ImageGenAsync
+from send_image import send_room_image
+
+logger = getlogger()
+
+
+class Bot:
+    def __init__(
+        self,
+        homeserver: str,
+        user_id: str,
+        device_id: str,
+        chatgpt_api_endpoint: str = os.environ.get(
+            "CHATGPT_API_ENDPOINT") or "https://api.openai.com/v1/chat/completions",
+        api_key: Optional[str] = os.environ.get("OPENAI_API_KEY") or "",
+        room_id: Union[str, None] = None,
+        bing_api_endpoint: Optional[str] = '',
+        password: Union[str, None] = None,
+        access_token: Union[str, None] = None,
+        jailbreakEnabled: Optional[bool] = True,
+        bing_auth_cookie: Optional[str] = '',
+    ):
+        if (homeserver is None or user_id is None
+                or device_id is None):
+            logger.warning("homeserver && user_id && device_id is required")
+            sys.exit(1)
+
+        if (password is None and access_token is None):
+            logger.warning("password and access_toekn is required")
+            sys.exit(1)
+
+        self.homeserver = homeserver
+        self.user_id = user_id
+        self.password = password
+        self.access_token = access_token
+        self.device_id = device_id
+        self.room_id = room_id
+        self.api_key = api_key
+        self.chatgpt_api_endpoint = chatgpt_api_endpoint
+        self.bing_api_endpoint = bing_api_endpoint
+        self.jailbreakEnabled = jailbreakEnabled
+        self.bing_auth_cookie = bing_auth_cookie
+        # initialize AsyncClient object
+        self.store_path = os.getcwd()
+        self.config = AsyncClientConfig(store=SqliteStore,
+                                        store_name="db",
+                                        store_sync_tokens=True,
+                                        encryption_enabled=True,
+                                        )
+        self.client = AsyncClient(homeserver=self.homeserver, user=self.user_id, device_id=self.device_id,
+                                  config=self.config, store_path=self.store_path,)
+
+        if self.access_token is not None:
+            self.client.access_token = self.access_token
+
+        # setup event callbacks
+        self.client.add_event_callback(
+            self.message_callback, (RoomMessageText, ))
+        self.client.add_event_callback(
+            self.decryption_failure, (MegolmEvent, ))
+        self.client.add_event_callback(
+            self.invite_callback, (InviteMemberEvent, ))
+        self.client.add_to_device_callback(
+            self.to_device_callback, (KeyVerificationEvent, ))
+
+        # regular expression to match keyword [!gpt {prompt}] [!chat {prompt}]
+        self.gpt_prog = re.compile(r"^\s*!gpt\s*(.+)$")
+        self.chat_prog = re.compile(r"^\s*!chat\s*(.+)$")
+        self.bing_prog = re.compile(r"^\s*!bing\s*(.+)$")
+        self.pic_prog = re.compile(r"^\s*!pic\s*(.+)$")
+        self.help_prog = re.compile(r"^\s*!help\s*.*$")
+
+        # initialize chatbot and chatgpt_api_endpoint
+        if self.api_key != '':
+            self.chatbot = Chatbot(api_key=self.api_key, timeout=60)
+
+            self.chatgpt_api_endpoint = self.chatgpt_api_endpoint
+            # request header for !gpt command
+            self.headers = {
+                "Content-Type": "application/json",
+                "Authorization": f"Bearer {self.api_key}",
+            }
+        else:
+            self.chatgpt_api_endpoint = self.chatgpt_api_endpoint
+            self.headers = {
+                "Content-Type": "application/json",
+            }
+
+        # initialize askGPT class
+        self.askgpt = askGPT()
+
+        # initialize bingbot
+        if self.bing_api_endpoint != '':
+            self.bingbot = BingBot(
+                bing_api_endpoint, jailbreakEnabled=self.jailbreakEnabled)
+
+        # initialize BingImageGenAsync
+        if self.bing_auth_cookie != '':
+            self.imageGen = ImageGenAsync(self.bing_auth_cookie, quiet=True)
+
+        # get current event loop
+        self.loop = asyncio.get_running_loop()
+
+    # message_callback RoomMessageText event
+    async def message_callback(self, room: MatrixRoom, event: RoomMessageText) -> None:
+        if self.room_id is None:
+            room_id = room.room_id
+        else:
+            # if event room id does not match the room id in config, return
+            if room.room_id != self.room_id:
+                return
+            room_id = self.room_id
+
+        # reply event_id
+        reply_to_event_id = event.event_id
+
+        # sender_id
+        sender_id = event.sender
+
+        # user_message
+        raw_user_message = event.body
+
+        # print info to console
+        print(
+            f"Message received in room {room.display_name}\n"
+            f"{room.user_name(event.sender)} | {raw_user_message}"
+        )
+
+        # prevent command trigger loop
+        if self.user_id != event.sender:
+            # remove newline character from event.body
+            content_body = re.sub("\r\n|\r|\n", " ", raw_user_message)
+
+            # chatgpt
+            n = self.chat_prog.match(content_body)
+            if n:
+                prompt = n.group(1)
+                if self.api_key != '':
+                    try:
+                        await self.chat(room_id,
+                                        reply_to_event_id,
+                                        prompt,
+                                        sender_id,
+                                        raw_user_message
+                                        )
+
+                    except Exception as e:
+                        logger.error(e)
+                        await send_room_message(self.client, room_id, reply_message=str(e))
+                else:
+                    logger.warning("No API_KEY provided")
+                    await send_room_message(self.client, room_id, reply_message="API_KEY not provided")
+
+            m = self.gpt_prog.match(content_body)
+            if m:
+                prompt = m.group(1)
+                try:
+                    await self.gpt(
+                        room_id,
+                        reply_to_event_id,
+                        prompt, sender_id,
+                        raw_user_message
+                    )
+                except Exception as e:
+                    logger.error(e)
+                    await send_room_message(self.client, room_id, reply_message=str(e))
+
+            # bing ai
+            if self.bing_api_endpoint != '':
+                b = self.bing_prog.match(content_body)
+                if b:
+                    prompt = b.group(1)
+                    # raw_content_body used for construct formatted_body
+                    try:
+                        await self.bing(
+                            room_id,
+                            reply_to_event_id,
+                            prompt,
+                            sender_id,
+                            raw_user_message
+                        )
+
+                    except Exception as e:
+                        await send_room_message(self.client, room_id, reply_message=str(e))
+
+            # Image Generation by Microsoft Bing
+            if self.bing_auth_cookie != '':
+                i = self.pic_prog.match(content_body)
+                if i:
+                    prompt = i.group(1)
+                    try:
+                        await self.pic(room_id, prompt)
+                    except Exception as e:
+                        await send_room_message(self.client, room_id, reply_message=str(e))
+
+            # help command
+            h = self.help_prog.match(content_body)
+            if h:
+                await self.help(room_id)
+
+    # message_callback decryption_failure event
+    async def decryption_failure(self, room: MatrixRoom, event: MegolmEvent) -> None:
+        if not isinstance(event, MegolmEvent):
+            return
+
+        logger.error(
+            f"Failed to decrypt message: {event.event_id} from {event.sender} in {room.room_id}\n" +
+            "Please make sure the bot current session is verified"
+        )
+
+    # invite_callback event
+    async def invite_callback(self, room: MatrixRoom, event: InviteMemberEvent) -> None:
+        """Handle an incoming invite event.
+        https://github.com/8go/matrix-eno-bot/blob/ad037e02bd2960941109e9526c1033dd157bb212/callbacks.py#L104
+        If an invite is received, then join the room specified in the invite.
+        code copied from: 
+        """
+        logger.debug(f"Got invite to {room.room_id} from {event.sender}.")
+        # Attempt to join 3 times before giving up
+        for attempt in range(3):
+            result = await self.client.join(room.room_id)
+            if type(result) == JoinError:
+                logger.error(
+                    f"Error joining room {room.room_id} (attempt %d): %s",
+                    attempt, result.message,
+                )
+            else:
+                break
+        else:
+            logger.error("Unable to join room: %s", room.room_id)
+
+        # Successfully joined room
+        logger.info(f"Joined {room.room_id}")
+
+    # to_device_callback event
+    async def to_device_callback(self, event: KeyVerificationEvent) -> None:
+        """Handle events sent to device.
+
+        Specifically this will perform Emoji verification.
+        It will accept an incoming Emoji verification requests
+        and follow the verification protocol.
+        code copied from: https://github.com/8go/matrix-eno-bot/blob/ad037e02bd2960941109e9526c1033dd157bb212/callbacks.py#L127
+        """
+        try:
+            client = self.client
+            logger.debug(
+                f"Device Event of type {type(event)} received in "
+                "to_device_cb().")
+
+            if isinstance(event, KeyVerificationStart):  # first step
+                """ first step: receive KeyVerificationStart
+                KeyVerificationStart(
+                    source={'content':
+                            {'method': 'm.sas.v1',
+                             'from_device': 'DEVICEIDXY',
+                             'key_agreement_protocols':
+                                ['curve25519-hkdf-sha256', 'curve25519'],
+                             'hashes': ['sha256'],
+                             'message_authentication_codes':
+                                ['hkdf-hmac-sha256', 'hmac-sha256'],
+                             'short_authentication_string':
+                                ['decimal', 'emoji'],
+                             'transaction_id': 'SomeTxId'
+                             },
+                            'type': 'm.key.verification.start',
+                            'sender': '@user2:example.org'
+                            },
+                    sender='@user2:example.org',
+                    transaction_id='SomeTxId',
+                    from_device='DEVICEIDXY',
+                    method='m.sas.v1',
+                    key_agreement_protocols=[
+                        'curve25519-hkdf-sha256', 'curve25519'],
+                    hashes=['sha256'],
+                    message_authentication_codes=[
+                        'hkdf-hmac-sha256', 'hmac-sha256'],
+                    short_authentication_string=['decimal', 'emoji'])
+                """
+
+                if "emoji" not in event.short_authentication_string:
+                    estr = ("Other device does not support emoji verification "
+                            f"{event.short_authentication_string}. Aborting.")
+                    print(estr)
+                    logger.info(estr)
+                    return
+                resp = await client.accept_key_verification(
+                    event.transaction_id)
+                if isinstance(resp, ToDeviceError):
+                    estr = f"accept_key_verification() failed with {resp}"
+                    print(estr)
+                    logger.info(estr)
+
+                sas = client.key_verifications[event.transaction_id]
+
+                todevice_msg = sas.share_key()
+                resp = await client.to_device(todevice_msg)
+                if isinstance(resp, ToDeviceError):
+                    estr = f"to_device() failed with {resp}"
+                    print(estr)
+                    logger.info(estr)
+
+            elif isinstance(event, KeyVerificationCancel):  # anytime
+                """ at any time: receive KeyVerificationCancel
+                KeyVerificationCancel(source={
+                    'content': {'code': 'm.mismatched_sas',
+                                'reason': 'Mismatched authentication string',
+                                'transaction_id': 'SomeTxId'},
+                    'type': 'm.key.verification.cancel',
+                    'sender': '@user2:example.org'},
+                    sender='@user2:example.org',
+                    transaction_id='SomeTxId',
+                    code='m.mismatched_sas',
+                    reason='Mismatched short authentication string')
+                """
+
+                # There is no need to issue a
+                # client.cancel_key_verification(tx_id, reject=False)
+                # here. The SAS flow is already cancelled.
+                # We only need to inform the user.
+                estr = (f"Verification has been cancelled by {event.sender} "
+                        f"for reason \"{event.reason}\".")
+                print(estr)
+                logger.info(estr)
+
+            elif isinstance(event, KeyVerificationKey):  # second step
+                """ Second step is to receive KeyVerificationKey
+                KeyVerificationKey(
+                    source={'content': {
+                            'key': 'SomeCryptoKey',
+                            'transaction_id': 'SomeTxId'},
+                        'type': 'm.key.verification.key',
+                        'sender': '@user2:example.org'
+                    },
+                    sender='@user2:example.org',
+                    transaction_id='SomeTxId',
+                    key='SomeCryptoKey')
+                """
+                sas = client.key_verifications[event.transaction_id]
+
+                print(f"{sas.get_emoji()}")
+                # don't log the emojis
+
+                # The bot process must run in forground with a screen and
+                # keyboard so that user can accept/reject via keyboard.
+                # For emoji verification bot must not run as service or
+                # in background.
+                # yn = input("Do the emojis match? (Y/N) (C for Cancel) ")
+                # automatic match, so we use y
+                yn = "y"
+                if yn.lower() == "y":
+                    estr = ("Match! The verification for this "
+                            "device will be accepted.")
+                    print(estr)
+                    logger.info(estr)
+                    resp = await client.confirm_short_auth_string(
+                        event.transaction_id)
+                    if isinstance(resp, ToDeviceError):
+                        estr = ("confirm_short_auth_string() "
+                                f"failed with {resp}")
+                        print(estr)
+                        logger.info(estr)
+                elif yn.lower() == "n":  # no, don't match, reject
+                    estr = ("No match! Device will NOT be verified "
+                            "by rejecting verification.")
+                    print(estr)
+                    logger.info(estr)
+                    resp = await client.cancel_key_verification(
+                        event.transaction_id, reject=True)
+                    if isinstance(resp, ToDeviceError):
+                        estr = (f"cancel_key_verification failed with {resp}")
+                        print(estr)
+                        logger.info(estr)
+                else:  # C or anything for cancel
+                    estr = ("Cancelled by user! Verification will be "
+                            "cancelled.")
+                    print(estr)
+                    logger.info(estr)
+                    resp = await client.cancel_key_verification(
+                        event.transaction_id, reject=False)
+                    if isinstance(resp, ToDeviceError):
+                        estr = (f"cancel_key_verification failed with {resp}")
+                        print(estr)
+                        logger.info(estr)
+
+            elif isinstance(event, KeyVerificationMac):  # third step
+                """ Third step is to receive KeyVerificationMac
+                KeyVerificationMac(
+                    source={'content': {
+                        'mac': {'ed25519:DEVICEIDXY': 'SomeKey1',
+                                'ed25519:SomeKey2': 'SomeKey3'},
+                        'keys': 'SomeCryptoKey4',
+                        'transaction_id': 'SomeTxId'},
+                        'type': 'm.key.verification.mac',
+                        'sender': '@user2:example.org'},
+                    sender='@user2:example.org',
+                    transaction_id='SomeTxId',
+                    mac={'ed25519:DEVICEIDXY': 'SomeKey1',
+                         'ed25519:SomeKey2': 'SomeKey3'},
+                    keys='SomeCryptoKey4')
+                """
+                sas = client.key_verifications[event.transaction_id]
+                try:
+                    todevice_msg = sas.get_mac()
+                except LocalProtocolError as e:
+                    # e.g. it might have been cancelled by ourselves
+                    estr = (f"Cancelled or protocol error: Reason: {e}.\n"
+                            f"Verification with {event.sender} not concluded. "
+                            "Try again?")
+                    print(estr)
+                    logger.info(estr)
+                else:
+                    resp = await client.to_device(todevice_msg)
+                    if isinstance(resp, ToDeviceError):
+                        estr = f"to_device failed with {resp}"
+                        print(estr)
+                        logger.info(estr)
+                    estr = (f"sas.we_started_it = {sas.we_started_it}\n"
+                            f"sas.sas_accepted = {sas.sas_accepted}\n"
+                            f"sas.canceled = {sas.canceled}\n"
+                            f"sas.timed_out = {sas.timed_out}\n"
+                            f"sas.verified = {sas.verified}\n"
+                            f"sas.verified_devices = {sas.verified_devices}\n")
+                    print(estr)
+                    logger.info(estr)
+                    estr = ("Emoji verification was successful!\n"
+                            "Initiate another Emoji verification from "
+                            "another device or room if desired. "
+                            "Or if done verifying, hit Control-C to stop the "
+                            "bot in order to restart it as a service or to "
+                            "run it in the background.")
+                    print(estr)
+                    logger.info(estr)
+            else:
+                estr = (f"Received unexpected event type {type(event)}. "
+                        f"Event is {event}. Event will be ignored.")
+                print(estr)
+                logger.info(estr)
+        except BaseException:
+            estr = traceback.format_exc()
+            print(estr)
+            logger.info(estr)
+
+    # !chat command
+    async def chat(self, room_id, reply_to_event_id, prompt, sender_id, raw_user_message):
+        await self.client.room_typing(room_id, timeout=180000)
+        try:
+            text = await asyncio.wait_for(self.chatbot.ask_async(prompt), timeout=180)
+        except TimeoutError as e:
+            logger.error("timeoutException", exc_info=True)
+            text = "Timeout error"
+        except Exception as e:
+            logger.error("Error", exc_info=True)
+            print(f"Error: {e}")
+
+        text = text.strip()
+        try:
+            await send_room_message(self.client, room_id, reply_message=text,
+                                    reply_to_event_id="", sender_id=sender_id, user_message=raw_user_message)
+        except Exception as e:
+            logger.error(f"Error: {e}", exc_info=True)
+
+    # !gpt command
+    async def gpt(self, room_id, reply_to_event_id, prompt, sender_id, raw_user_message):
+        try:
+            # sending typing state
+            await self.client.room_typing(room_id, timeout=180000)
+            # timeout 120s
+            text = await asyncio.wait_for(self.askgpt.oneTimeAsk(prompt, self.chatgpt_api_endpoint, self.headers), timeout=180)
+        except TimeoutError:
+            logger.error("timeoutException", exc_info=True)
+            text = "Timeout error"
+
+        text = text.strip()
+        try:
+            await send_room_message(self.client, room_id, reply_message=text,
+                                    reply_to_event_id="", sender_id=sender_id, user_message=raw_user_message)
+        except Exception as e:
+            logger.error(f"Error: {e}", exc_info=True)
+
+    # !bing command
+    async def bing(self, room_id, reply_to_event_id, prompt, sender_id, raw_user_message):
+        try:
+            # sending typing state
+            await self.client.room_typing(room_id, timeout=180000)
+            # timeout 120s
+            text = await asyncio.wait_for(self.bingbot.ask_bing(prompt), timeout=180)
+        except TimeoutError:
+            logger.error("timeoutException", exc_info=True)
+            text = "Timeout error"
+        text = text.strip()
+        try:
+            await send_room_message(self.client, room_id, reply_message=text,
+                                    reply_to_event_id="", sender_id=sender_id, user_message=raw_user_message)
+        except Exception as e:
+            logger.error(f"Error: {e}", exc_info=True)
+
+    # !pic command
+    async def pic(self, room_id, prompt):
+        try:
+            await self.client.room_typing(room_id, timeout=180000)
+            # generate image
+            try:
+
+                links = await self.imageGen.get_images(prompt)
+                image_path = await self.imageGen.save_images(links, "images")
+            except Exception as e:
+                logger.error(f"Image Generation error: {e}", exc_info=True)
+
+            # send image
+            try:
+                await send_room_image(self.client, room_id, image_path)
+                await self.client.room_typing(room_id, typing_state=False)
+            except Exception as e:
+                logger.error(e, exc_info=True)
+
+        except Exception as e:
+            logger.error(f"Error: {e}", exc_info=True)
+
+    # !help command
+    async def help(self, room_id):
+        try:
+            # sending typing state
+            await self.client.room_typing(room_id)
+            help_info = "!gpt [content], generate response without context conversation\n" + \
+                        "!chat [content], chat with context conversation\n" + \
+                        "!bing [content], chat with context conversation powered by Bing AI\n" + \
+                        "!pic [prompt], Image generation by Microsoft Bing\n" + \
+                        "!help, help message"
+
+            await send_room_message(self.client, room_id, reply_message=help_info)
+        except Exception as e:
+            logger.error(f"Error: {e}", exc_info=True)
+
+    # bot login
+    async def login(self) -> None:
+        if self.access_token is not None:
+            logger.info("Login via access_token")
+        else:
+            logger.info("Login via password")
+            try:
+                resp = await self.client.login(password=self.password)
+                if not isinstance(resp, LoginResponse):
+                    logger.error("Login Failed")
+                    print(f"Login Failed: {resp}")
+                    sys.exit(1)
+            except Exception as e:
+                logger.error(f"Error: {e}", exc_info=True)
+
+    # sync messages in the room
+    async def sync_forever(self, timeout=30000, full_state=True) -> None:
+
+        await self.client.sync_forever(timeout=timeout, full_state=full_state)
+
+    # Sync encryption keys with the server
+    async def sync_encryption_key(self) -> None:
+        if self.client.should_upload_keys:
+            await self.client.keys_upload()
+
+    # Trust own devices
+    async def trust_own_devices(self) -> None:
+        await self.client.sync(timeout=30000, full_state=True)
+        for device_id, olm_device in self.client.device_store[
+                self.user_id].items():
+            logger.debug("My other devices are: "
+                         f"device_id={device_id}, "
+                         f"olm_device={olm_device}.")
+            logger.info("Setting up trust for my own "
+                        f"device {device_id} and session key "
+                        f"{olm_device.keys['ed25519']}.")
+            self.client.verify_device(olm_device)

compose.yaml

@@ -2,7 +2,7 @@ services:
   app:
     image: hibobmaster/matrixchatgptbot:latest
     container_name: matrix_chatgpt_bot
-    restart: unless-stopped
+    restart: always
     # build:
     #   context: .
     #   dockerfile: ./Dockerfile
@@ -11,14 +11,19 @@ services:
     volumes:
       # use env file or config.json
       # - ./config.json:/app/config.json
-      # 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
+      # use touch to create an empty file db, for persist database only
+      - ./db:/app/db
     networks:
       - matrix_network
+  # api:
+  # # bing api
+  #   image: hibobmaster/node-chatgpt-api:latest
+  #   container_name: node-chatgpt-api
+  #   restart: always
+  #   volumes:
+  #     - ./settings.js:/var/chatgpt-api/settings.js
+  #   networks:
+  #     - matrix_network
 
 networks:
   matrix_network:

config.json.example

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

config.json.sample

@@ -0,0 +1,9 @@
+{
+  "homeserver": "https://matrix.qqs.tw",
+  "user_id": "@lullap:xxxxx.org",
+  "password": "xxxxxxxxxxxxxxxxxx",
+  "device_id": "ECYEOKVPLG",
+  "room_id": "!FYCmBSkCRUNvZDBaDQ:matrix.qqs.tw",
+  "api_key": "xxxxxxxxxxxxxxxxxxxxxxxx",
+  "access_token": "xxxxxxx"
+}

full-config.json.example

@@ -1,29 +0,0 @@
-{
-    "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
-}

log.py

@@ -0,0 +1,31 @@
+import logging
+
+
+def getlogger():
+    # create a custom logger
+    logger = logging.getLogger(__name__)
+
+    # create handlers
+    warn_handler = logging.StreamHandler()
+    info_handler = logging.StreamHandler()
+    error_handler = logging.FileHandler('bot.log', mode='a')
+    warn_handler.setLevel(logging.WARNING)
+    error_handler.setLevel(logging.ERROR)
+    info_handler.setLevel(logging.INFO)
+
+    # create formatters
+    warn_format = logging.Formatter('%(name)s - %(funcName)s - %(levelname)s - %(message)s')
+    error_format = logging.Formatter('%(asctime)s - %(name)s - %(funcName)s - %(levelname)s - %(message)s')
+    info_format = logging.Formatter('%(message)s')
+
+    # set formatter
+    warn_handler.setFormatter(warn_format)
+    error_handler.setFormatter(error_format)
+    info_handler.setFormatter(info_format)
+
+    # add handlers to logger
+    logger.addHandler(warn_handler)
+    logger.addHandler(error_handler)
+    logger.addHandler(info_handler)
+
+    return logger

main.py

@@ -0,0 +1,52 @@
+import json
+import os
+import asyncio
+from bot import Bot
+from log import getlogger
+
+logger = getlogger()
+
+async def main():
+    
+    if os.path.exists('config.json'):
+        fp = open('config.json', 'r', encoding="utf8")
+        config = json.load(fp)
+        
+        matrix_bot = Bot(homeserver=config.get('homeserver'),
+                        user_id=config.get('user_id') ,
+                        password=config.get('password'),
+                        device_id=config.get('device_id'),
+                        room_id=config.get('room_id'),
+                        api_key=config.get('api_key'),
+                        bing_api_endpoint=config.get('bing_api_endpoint'),
+                        access_token=config.get('access_token'),
+                        jailbreakEnabled=config.get('jailbreakEnabled'),
+                        bing_auth_cookie=config.get('bing_auth_cookie'),
+                        )                     
+
+    else:
+        matrix_bot = Bot(homeserver=os.environ.get('HOMESERVER'),
+                        user_id=os.environ.get('USER_ID') ,
+                        password=os.environ.get('PASSWORD'),
+                        device_id=os.environ.get("DEVICE_ID"),
+                        room_id=os.environ.get("ROOM_ID"),
+                        api_key=os.environ.get("OPENAI_API_KEY"),
+                        bing_api_endpoint=os.environ.get("BING_API_ENDPOINT"),
+                        access_token=os.environ.get("ACCESS_TOKEN"),
+                        jailbreakEnabled=os.environ.get("JAILBREAKENABLED"),
+                        bing_auth_cookie=os.environ.get("BING_AUTH_COOKIE"),
+                        )     
+
+    await matrix_bot.login()
+    await matrix_bot.sync_encryption_key()
+
+    # await matrix_bot.trust_own_devices()
+
+    await matrix_bot.sync_forever(timeout=30000, full_state=True)
+
+
+if __name__ == "__main__":
+    logger.info("matrix chatgpt bot start.....")
+    asyncio.run(main())
+
+        

requirements-dev.txt

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

requirements.txt

@@ -1,8 +1,51 @@
-aiofiles
-httpx
-Markdown
-matrix-nio[e2e]
-Pillow
-tiktoken
-tenacity
-python-magic
+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==40.0.1
+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==2.28.2
+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

send_image.py

@@ -3,18 +3,17 @@ code derived from:
 https://matrix-nio.readthedocs.io/en/latest/examples.html#sending-an-image
 """
 import os
-
 import aiofiles.os
 import magic
-from log import getlogger
-from nio import AsyncClient
-from nio import UploadResponse
 from PIL import Image
+from nio import AsyncClient, UploadResponse
+from log import getlogger
 
 logger = getlogger()
 
 
-async def send_room_image(client: AsyncClient, room_id: str, image: str):
+async def send_room_image(client: AsyncClient,
+                     room_id: str, image: str):
     """
     image: image path
     """
@@ -33,14 +32,11 @@ 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 upload image. Failure response: {resp}")
+        logger.warning(f"Failed to generate image. Failure response: {resp}")
         await client.room_send(
             room_id,
             message_type="m.room.message",
-            content={
-                "msgtype": "m.text",
-                "body": f"Failed to upload image. Failure response: {resp}",
-            },
+            content={"msgtype": "m.text", "body": f"Failed to generate image. Failure response: {resp}", },
             ignore_unverified_devices=True,
         )
         return
@@ -61,4 +57,3 @@ async def send_room_image(client: AsyncClient, room_id: str, image: str):
         await client.room_send(room_id, message_type="m.room.message", content=content)
     except Exception as e:
         logger.error(f"Image send of file {image} failed.\n Error: {e}", exc_info=True)
-        raise Exception(e)

send_message.py

@@ -0,0 +1,26 @@
+from nio import AsyncClient
+
+async def send_room_message(client: AsyncClient,
+                            room_id: str,
+                            reply_message: str,
+                            sender_id: str = '',
+                            user_message: str = '',
+                            reply_to_event_id: str = '') -> None:
+    if reply_to_event_id == '':
+        content = {"msgtype": "m.text", "body": reply_message, }
+    else:
+        body = r'> <' + sender_id + r'> ' + user_message + r'\n\n' + reply_message
+        format = r'org.matrix.custom.html'
+        formatted_body = r'<mx-reply><blockquote><a href="https://matrix.to/#/' + room_id + r'/' + reply_to_event_id \
+        + r'">In reply to</a> <a href="https://matrix.to/#/' + sender_id + r'">' + sender_id  \
+        + r'</a><br>' + user_message + r'</blockquote></mx-reply>' + reply_message
+
+        content={"msgtype": "m.text", "body": body, "format": format, "formatted_body": formatted_body,
+                 "m.relates_to": {"m.in_reply_to": {"event_id": reply_to_event_id}}, }
+    await client.room_send(
+        room_id,
+        message_type="m.room.message",
+        content=content,
+        ignore_unverified_devices=True,
+    )
+    await client.room_typing(room_id, typing_state=False)

src/flowise.py

@@ -1,41 +0,0 @@
-import httpx
-
-
-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 (httpx.AsyncClient): The httpx session to use.
-        headers (dict, optional): The headers to use. Defaults to None.
-
-    Returns:
-        str: The response from the API.
-    """
-    if headers:
-        response = await session.post(
-            api_url,
-            json={"question": prompt},
-            headers=headers,
-        )
-    else:
-        response = await session.post(api_url, json={"question": prompt})
-    return response.text
-
-
-async def test():
-    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
-
-    asyncio.run(test())

src/imagegen.py

@@ -1,106 +0,0 @@
-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

@@ -1,200 +0,0 @@
-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

@@ -1,40 +0,0 @@
-import logging
-import os
-from pathlib import Path
-
-log_path = Path(os.path.dirname(__file__)).parent / "bot.log"
-
-
-def getlogger():
-    # create a custom logger if no log handler
-    logger = logging.getLogger(__name__)
-    if not logger.hasHandlers():
-        logger.setLevel(logging.INFO)
-        # create handlers
-        warn_handler = logging.StreamHandler()
-        info_handler = logging.StreamHandler()
-        error_handler = logging.FileHandler("bot.log", mode="a")
-        warn_handler.setLevel(logging.WARNING)
-        error_handler.setLevel(logging.ERROR)
-        info_handler.setLevel(logging.INFO)
-
-        # create formatters
-        warn_format = logging.Formatter(
-            "%(asctime)s - %(funcName)s - %(levelname)s - %(message)s",
-        )
-        error_format = logging.Formatter(
-            "%(asctime)s - %(name)s - %(funcName)s - %(levelname)s - %(message)s",
-        )
-        info_format = logging.Formatter("%(asctime)s - %(levelname)s - %(message)s")
-
-        # set formatter
-        warn_handler.setFormatter(warn_format)
-        error_handler.setFormatter(error_format)
-        info_handler.setFormatter(info_format)
-
-        # add handlers to logger
-        logger.addHandler(warn_handler)
-        logger.addHandler(error_handler)
-        logger.addHandler(info_handler)
-
-    return logger

src/main.py

@@ -1,121 +0,0 @@
-import asyncio
-import json
-import os
-from pathlib import Path
-import signal
-import sys
-
-from bot import Bot
-from log import getlogger
-
-logger = getlogger()
-
-
-async def main():
-    need_import_keys = False
-    config_path = Path(os.path.dirname(__file__)).parent / "config.json"
-    if os.path.isfile(config_path):
-        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"),
-            import_keys_path=config.get("import_keys_path"),
-            import_keys_password=config.get("import_keys_password"),
-            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")
-            and config.get("import_keys_password") is not None
-        ):
-            need_import_keys = True
-
-    else:
-        matrix_bot = Bot(
-            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"),
-            import_keys_path=os.environ.get("IMPORT_KEYS_PATH"),
-            import_keys_password=os.environ.get("IMPORT_KEYS_PASSWORD"),
-            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")
-            and os.environ.get("IMPORT_KEYS_PASSWORD") is not None
-        ):
-            need_import_keys = True
-
-    await matrix_bot.login()
-    if need_import_keys:
-        logger.info("start import_keys process, this may take a while...")
-        await matrix_bot.import_keys()
-
-    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__":
-    logger.info("matrix chatgpt bot start.....")
-    asyncio.run(main())

src/send_message.py

@@ -1,63 +0,0 @@
-import markdown
-from log import getlogger
-from nio import AsyncClient
-
-logger = getlogger()
-
-
-async def send_room_message(
-    client: AsyncClient,
-    room_id: str,
-    reply_message: str,
-    sender_id: str = "",
-    user_message: str = "",
-    reply_to_event_id: str = "",
-) -> None:
-    if reply_to_event_id == "":
-        content = {
-            "msgtype": "m.text",
-            "body": reply_message,
-            "format": "org.matrix.custom.html",
-            "formatted_body": markdown.markdown(
-                reply_message,
-                extensions=["nl2br", "tables", "fenced_code"],
-            ),
-        }
-    else:
-        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/#/'
-            + room_id
-            + r"/"
-            + reply_to_event_id
-            + r'">In reply to</a> <a href="https://matrix.to/#/'
-            + sender_id
-            + r'">'
-            + sender_id
-            + r"</a><br>"
-            + user_message
-            + r"</blockquote></mx-reply>"
-            + markdown.markdown(
-                reply_message,
-                extensions=["nl2br", "tables", "fenced_code"],
-            )
-        )
-
-        content = {
-            "msgtype": "m.text",
-            "body": body,
-            "format": format,
-            "formatted_body": formatted_body,
-            "m.relates_to": {"m.in_reply_to": {"event_id": reply_to_event_id}},
-        }
-    try:
-        await client.room_send(
-            room_id,
-            message_type="m.room.message",
-            content=content,
-            ignore_unverified_devices=True,
-        )
-        await client.room_typing(room_id, typing_state=False)
-    except Exception as e:
-        logger.error(e)

v3.py

@@ -1,26 +1,12 @@
-"""
-Code derived from https://github.com/acheong08/ChatGPT/blob/main/src/revChatGPT/V3.py
-A simple wrapper for the official ChatGPT API
-"""
 import json
+import os
 from typing import AsyncGenerator
-from tenacity import retry, wait_random_exponential, stop_after_attempt
+
 import httpx
+import requests
 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
@@ -28,48 +14,29 @@ class Chatbot:
 
     def __init__(
         self,
-        aclient: httpx.AsyncClient,
         api_key: str,
-        api_url: str = None,
-        engine: str = None,
+        engine: str = os.environ.get("GPT_ENGINE") or "gpt-3.5-turbo",
+        proxy: str = None,
         timeout: float = None,
         max_tokens: int = None,
-        temperature: float = 0.8,
+        temperature: float = 0.5,
         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,
+        system_prompt: str = "You are ChatGPT, a large language model trained by OpenAI. Respond conversationally",
     ) -> None:
         """
         Initialize Chatbot with API key (from https://platform.openai.com/account/api-keys)
         """
-        self.engine: str = engine or "gpt-3.5-turbo"
+        self.engine: str = engine
         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.system_prompt: str = system_prompt
         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
+            31000 if engine == "gpt-4-32k" else 7000 if engine == "gpt-4" 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.truncate_limit: int = (
+            30500 if engine == "gpt-4-32k" else 6500 if engine == "gpt-4" else 3500
         )
         self.temperature: float = temperature
         self.top_p: float = top_p
@@ -77,8 +44,31 @@ class Chatbot:
         self.frequency_penalty: float = frequency_penalty
         self.reply_count: int = reply_count
         self.timeout: float = timeout
+        self.proxy = proxy
+        self.session = requests.Session()
+        self.session.proxies.update(
+            {
+                "http": proxy,
+                "https": proxy,
+            },
+        )
+        proxy = (
+            proxy or os.environ.get("all_proxy") or os.environ.get("ALL_PROXY") or None
+        )
 
-        self.aclient = aclient
+        if proxy:
+            if "socks5h" not in proxy:
+                self.aclient = httpx.AsyncClient(
+                    follow_redirects=True,
+                    proxies=proxy,
+                    timeout=timeout,
+                )
+        else:
+            self.aclient = httpx.AsyncClient(
+                follow_redirects=True,
+                proxies=proxy,
+                timeout=timeout,
+            )
 
         self.conversation: dict[str, list[dict]] = {
             "default": [
@@ -89,8 +79,6 @@ class Chatbot:
             ],
         }
 
-        if self.get_token_count("default") > self.max_tokens:
-            raise Exception("System prompt is too long")
 
     def add_to_conversation(
         self,
@@ -117,26 +105,31 @@ class Chatbot:
             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"
+        if self.engine not in [
+            "gpt-3.5-turbo",
+            "gpt-3.5-turbo-0301",
+            "gpt-4",
+            "gpt-4-0314",
+            "gpt-4-32k",
+            "gpt-4-32k-0314",
+        ]:
+            raise NotImplementedError("Unsupported engine {self.engine}")
+
         tiktoken.model.MODEL_TO_ENCODING["gpt-4"] = "cl100k_base"
 
-        encoding = tiktoken.encoding_for_model(_engine)
+        encoding = tiktoken.encoding_for_model(self.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))
+                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
@@ -148,15 +141,13 @@ class Chatbot:
         """
         return self.max_tokens - self.get_token_count(convo_id)
 
-    async def ask_stream_async(
+    def ask_stream(
         self,
         prompt: str,
         role: str = "user",
         convo_id: str = "default",
-        model: str = None,
-        pass_history: bool = True,
         **kwargs,
-    ) -> AsyncGenerator[str, None]:
+    ):
         """
         Ask a question
         """
@@ -166,13 +157,12 @@ class Chatbot:
         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,
+        response = self.session.post(
+            os.environ.get("API_URL") or "https://api.openai.com/v1/chat/completions",
             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],
+                "model": self.engine,
+                "messages": self.conversation[convo_id],
                 "stream": True,
                 # kwargs
                 "temperature": kwargs.get("temperature", self.temperature),
@@ -187,18 +177,79 @@ class Chatbot:
                 ),
                 "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),
+                "max_tokens": self.get_max_tokens(convo_id=convo_id),
+            },
+            timeout=kwargs.get("timeout", self.timeout),
+            stream=True,
+        )
+ 
+        response_role: str = None
+        full_response: str = ""
+        for line in response.iter_lines():
+            if not line:
+                continue
+            # Remove "data: "
+            line = line.decode("utf-8")[6:]
+            if line == "[DONE]":
+                break
+            resp: dict = json.loads(line)
+            choices = resp.get("choices")
+            if not choices:
+                continue
+            delta = choices[0].get("delta")
+            if not delta:
+                continue
+            if "role" in delta:
+                response_role = delta["role"]
+            if "content" in delta:
+                content = delta["content"]
+                full_response += content
+                yield content
+        self.add_to_conversation(full_response, response_role, convo_id=convo_id)
+
+    async def ask_stream_async(
+        self,
+        prompt: str,
+        role: str = "user",
+        convo_id: str = "default",
+        **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",
+            os.environ.get("API_URL") or "https://api.openai.com/v1/chat/completions",
+            headers={"Authorization": f"Bearer {kwargs.get('api_key', self.api_key)}"},
+            json={
+                "model": self.engine,
+                "messages": self.conversation[convo_id],
+                "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": self.get_max_tokens(convo_id=convo_id),
             },
             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 = ""
@@ -211,8 +262,6 @@ class Chatbot:
                 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
@@ -232,8 +281,6 @@ class Chatbot:
         prompt: str,
         role: str = "user",
         convo_id: str = "default",
-        model: str = None,
-        pass_history: bool = True,
         **kwargs,
     ) -> str:
         """
@@ -243,102 +290,35 @@ class Chatbot:
             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(
+    def ask(
         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
+        """
+        Non-streaming ask
+        """
+        response = self.ask_stream(
+            prompt=prompt,
+            role=role,
+            convo_id=convo_id,
+            **kwargs,
         )
+        full_response: str = "".join(response)
         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"]
+        ]