├── .dockerignore ├── .env.example ├── .github └── workflows │ └── poetry_unit_tests.yml ├── .gitignore ├── CHANGELOG.txt ├── CONTRIBUTING.md ├── Dockerfile.backend ├── LICENSE ├── MANIFEST.in ├── Makefile ├── README.md ├── api-website ├── Makefile ├── _build │ ├── doctrees │ │ ├── environment.pickle │ │ ├── googleanalytics │ │ │ └── README.doctree │ │ ├── index.doctree │ │ ├── modules.doctree │ │ ├── run.doctree │ │ ├── run_api.doctree │ │ ├── salesgpt.doctree │ │ └── salesgpt │ │ │ ├── modules.doctree │ │ │ ├── salesgpt.agents.doctree │ │ │ ├── salesgpt.chains.doctree │ │ │ ├── salesgpt.doctree │ │ │ ├── salesgpt.logger.doctree │ │ │ ├── salesgpt.parsers.doctree │ │ │ ├── salesgpt.prompts.doctree │ │ │ ├── salesgpt.prompts_cn.doctree │ │ │ ├── salesgpt.salesgptapi.doctree │ │ │ ├── salesgpt.stages.doctree │ │ │ ├── salesgpt.templates.doctree │ │ │ ├── salesgpt.tools.doctree │ │ │ └── salesgpt.version.doctree │ └── html │ │ ├── .buildinfo │ │ ├── _sources │ │ ├── googleanalytics │ │ │ └── README.rst.txt │ │ ├── index.rst.txt │ │ ├── modules.rst.txt │ │ ├── salesgpt.rst.txt │ │ └── salesgpt │ │ │ ├── modules.rst.txt │ │ │ ├── salesgpt.agents.rst.txt │ │ │ ├── salesgpt.chains.rst.txt │ │ │ ├── salesgpt.logger.rst.txt │ │ │ ├── salesgpt.parsers.rst.txt │ │ │ ├── salesgpt.prompts.rst.txt │ │ │ ├── salesgpt.prompts_cn.rst.txt │ │ │ ├── salesgpt.rst.txt │ │ │ ├── salesgpt.salesgptapi.rst.txt │ │ │ ├── salesgpt.stages.rst.txt │ │ │ ├── salesgpt.templates.rst.txt │ │ │ ├── salesgpt.tools.rst.txt │ │ │ └── salesgpt.version.rst.txt │ │ ├── _static │ │ ├── _sphinx_javascript_frameworks_compat.js │ │ ├── alabaster.css │ │ ├── basic.css │ │ ├── css │ │ │ ├── badge_only.css │ │ │ ├── fonts │ │ │ │ ├── Roboto-Slab-Bold.woff │ │ │ │ ├── Roboto-Slab-Bold.woff2 │ │ │ │ ├── Roboto-Slab-Regular.woff │ │ │ │ ├── Roboto-Slab-Regular.woff2 │ │ │ │ ├── fontawesome-webfont.eot │ │ │ │ ├── fontawesome-webfont.svg │ │ │ │ ├── fontawesome-webfont.ttf │ │ │ │ ├── fontawesome-webfont.woff │ │ │ │ ├── fontawesome-webfont.woff2 │ │ │ │ ├── lato-bold-italic.woff │ │ │ │ ├── lato-bold-italic.woff2 │ │ │ │ ├── lato-bold.woff │ │ │ │ ├── lato-bold.woff2 │ │ │ │ ├── lato-normal-italic.woff │ │ │ │ ├── lato-normal-italic.woff2 │ │ │ │ ├── lato-normal.woff │ │ │ │ └── lato-normal.woff2 │ │ │ └── theme.css │ │ ├── custom.css │ │ ├── doctools.js │ │ ├── documentation_options.js │ │ ├── file.png │ │ ├── google_analytics_tracker.js │ │ ├── jquery.js │ │ ├── js │ │ │ ├── badge_only.js │ │ │ ├── html5shiv-printshiv.min.js │ │ │ ├── html5shiv.min.js │ │ │ └── theme.js │ │ ├── language_data.js │ │ ├── minus.png │ │ ├── plus.png │ │ ├── pygments.css │ │ ├── searchtools.js │ │ └── sphinx_highlight.js │ │ ├── genindex.html │ │ ├── googleanalytics │ │ └── README.html │ │ ├── index.html │ │ ├── layout.html │ │ ├── modules.html │ │ ├── objects.inv │ │ ├── py-modindex.html │ │ ├── run.html │ │ ├── run_api.html │ │ ├── salesgpt.html │ │ ├── salesgpt │ │ ├── modules.html │ │ ├── salesgpt.agents.html │ │ ├── salesgpt.chains.html │ │ ├── salesgpt.html │ │ ├── salesgpt.logger.html │ │ ├── salesgpt.parsers.html │ │ ├── salesgpt.prompts.html │ │ ├── salesgpt.prompts_cn.html │ │ ├── salesgpt.salesgptapi.html │ │ ├── salesgpt.stages.html │ │ ├── salesgpt.templates.html │ │ ├── salesgpt.tools.html │ │ └── salesgpt.version.html │ │ ├── search.html │ │ └── searchindex.js ├── _static │ ├── custom.css │ └── google_analytics_tracker.js ├── _templates │ └── layout.html ├── conf.py ├── index.rst ├── make.bat ├── package.json ├── requirements.txt └── salesgpt │ ├── modules.rst │ ├── salesgpt.agents.rst │ ├── salesgpt.chains.rst │ ├── salesgpt.logger.rst │ ├── salesgpt.parsers.rst │ ├── salesgpt.prompts.rst │ ├── salesgpt.prompts_cn.rst │ ├── salesgpt.rst │ ├── salesgpt.salesgptapi.rst │ ├── salesgpt.stages.rst │ ├── salesgpt.templates.rst │ ├── salesgpt.tools.rst │ └── salesgpt.version.rst ├── calendly.py ├── docker-compose.yml ├── examples ├── example_agent_setup.json ├── example_cn_agent_setup.json ├── example_es_agent_setup.json ├── example_product_price_id_mapping.json ├── mcdonalds_menu.txt ├── mcdonalds_worker.json ├── sales_agent_with_context.ipynb ├── sample_product_catalog.txt ├── sample_product_catalog_2.txt └── streaming_generator_example.py ├── frontend ├── .dockerignore ├── .eslintrc.json ├── .gitignore ├── Dockerfile.frontend ├── README.md ├── components.json ├── next.config.mjs ├── package-lock.json ├── package.json ├── postcss.config.js ├── public │ └── maskot.png ├── src │ ├── components │ │ ├── ChatInterface.module.css │ │ ├── chat-interface.tsx │ │ ├── git-hub-footer.tsx │ │ └── ui │ │ │ ├── Header.tsx │ │ │ ├── bot-icon.tsx │ │ │ ├── input.tsx │ │ │ └── loader-icon.tsx │ ├── lib │ │ └── utils.ts │ ├── pages │ │ ├── _app.tsx │ │ ├── _document.tsx │ │ ├── chat.tsx │ │ └── index.tsx │ └── styles │ │ └── globals.css ├── start-dev.sh ├── tailwind.config.ts └── tsconfig.json ├── poetry.lock ├── pyproject.toml ├── requirements-dev.txt ├── requirements.txt ├── run.py ├── run_api.py ├── salesgpt ├── __init__.py ├── agents.py ├── chains.py ├── custom_invoke.py ├── logger.py ├── models.py ├── parsers.py ├── prompts.py ├── prompts_cn.py ├── salesgptapi.py ├── stages.py ├── templates.py ├── tools.py └── version.py ├── test_mail.py ├── tests ├── conftest.py ├── test_api.py ├── test_data │ └── sample_product_catalog.txt ├── test_salesgpt.py └── test_tools.py └── website ├── .gitignore ├── babel.config.js ├── blog ├── 2019-05-28-first-blog-post.md ├── 2019-05-29-long-blog-post.md ├── 2021-08-01-mdx-blog-post.mdx ├── 2021-08-26-welcome │ ├── docusaurus-plushie-banner.jpeg │ └── index.md └── authors.yml ├── docs ├── Basics │ ├── Installation.md │ ├── Introduction.mdx │ ├── Quickstart.md │ └── _category_.json ├── Contribute │ ├── About-the-team.md │ ├── Contributing.md │ ├── Roadmap.md │ └── _category_.json ├── Tools │ ├── Calendly.md │ ├── Different_business.md │ ├── Gmail.md │ ├── Open_source_models.md │ ├── Product_catalog.md │ ├── Use_tools.md │ └── _category_.json └── Use_Cases │ ├── Mattress_salesman.md │ ├── Use_case_2.md │ └── _category_.json ├── docusaurus.config.js ├── package-lock.json ├── package.json ├── sidebars.js ├── sidebars_1.js ├── src ├── components │ └── HomepageFeatures │ │ ├── index.js │ │ └── styles.module.css ├── css │ └── custom.css └── pages │ ├── index.module.css │ └── markdown-page.md └── static ├── .nojekyll └── img ├── Gmail.png ├── bad_1.png ├── bad_2.png ├── correct.png ├── docusaurus-social-card.jpg ├── docusaurus.png ├── favicon.ico ├── insta.ico ├── logo.svg ├── mcdonalds.png ├── new_products.png ├── robot_mascot.ico ├── sgpt_fav.ico ├── undraw_docusaurus_mountain.svg ├── undraw_docusaurus_react.svg └── undraw_docusaurus_tree.svg /.dockerignore: -------------------------------------------------------------------------------- 1 | env/ 2 | __pychace__/ 3 | 4 | *.env 5 | *.env.* 6 | env.* 7 | -------------------------------------------------------------------------------- /.env.example: -------------------------------------------------------------------------------- 1 | #LLM/AWS config 2 | OPENAI_API_KEY=xx 3 | AWS_ACCESS_KEY_ID=xx 4 | AWS_SECRET_ACCESS_KEY=xx 5 | AWS_REGION_NAME=xx 6 | GPT_MODEL=gpt-3.5-turbo-0613 7 | HUGGGINGFACE_API_KEY=xx 8 | 9 | #Agent setup 10 | USE_TOOLS_IN_API=True 11 | CONFIG_PATH=examples/example_agent_setup.json 12 | PRODUCT_CATALOG=examples/sample_product_catalog.txt 13 | PRODUCT_PRICE_MAPPING=examples/example_product_price_id_mapping.json 14 | 15 | #Gmail API config for sending emails 16 | GMAIL_APP_PASSWORD=xx 17 | GMAIL_MAIL=yy 18 | 19 | #Stripe config for payments 20 | STRIPE_API_KEY=xx 21 | PAYMENT_GATEWAY_URL=https://agent-payments-gateway.vercel.app/payment 22 | 23 | #Calendly config for scheduling meetings 24 | CALENDLY_API_KEY=xx 25 | CALENDLY_EVENT_UUID=yy 26 | 27 | #Enable local api startup 28 | NEXT_PUBLIC_API_URL=http://localhost:8000 29 | NEXT_PUBLIC_ENVIRONMENT=development 30 | 31 | -------------------------------------------------------------------------------- /.github/workflows/poetry_unit_tests.yml: -------------------------------------------------------------------------------- 1 | name: tests 2 | 3 | on: 4 | push: 5 | branches: 6 | - main 7 | pull_request: 8 | types: [opened, synchronize, reopened] 9 | 10 | jobs: 11 | check_skip: 12 | runs-on: ubuntu-latest 13 | if: "! contains(github.event.head_commit.message, '[ci skip]')" 14 | steps: 15 | - run: echo "${{ github.event.head_commit.message }}" 16 | 17 | test: 18 | runs-on: ubuntu-latest 19 | strategy: 20 | fail-fast: false 21 | matrix: 22 | python-version: ["3.8", "3.9", "3.10", "3.11"] # Testing across multiple Python versions 23 | steps: 24 | - uses: actions/checkout@v3 25 | 26 | - name: Set up Python ${{ matrix.python-version }} 27 | uses: actions/setup-python@v4 28 | with: 29 | python-version: ${{ matrix.python-version }} 30 | architecture: x64 31 | 32 | - name: Check OS 33 | run: cat /etc/os-release 34 | 35 | - name: Install/upgrade Python setup tools 36 | run: python3 -m pip install --upgrade pip setuptools wheel 37 | 38 | - name: Install additional system dependencies 39 | run: | 40 | sudo apt-get update 41 | sudo apt-get install -y --no-install-recommends git make gcc 42 | 43 | 44 | - name: Install Poetry 45 | run: | 46 | pip install poetry 47 | 48 | - name: Configure Poetry 49 | run: | 50 | poetry config virtualenvs.create false 51 | 52 | - name: Install dependencies using Poetry 53 | run: | 54 | poetry install 55 | 56 | 57 | - name: Run Unit Tests 58 | env: 59 | OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} 60 | AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }} 61 | AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }} 62 | AWS_REGION_NAME: ${{ secrets.AWS_REGION_NAME }} 63 | AWS_DEFAULT_REGION: ${{ secrets.AWS_DEFAULT_REGION }} 64 | run: | 65 | export OPENAI_API_KEY=$OPENAI_API_KEY 66 | export AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID 67 | export AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY 68 | export AWS_DEFAULT_REGION=$AWS_DEFAULT_REGION 69 | export AWS_REGION_NAME=$AWS_REGION_NAME 70 | make test # Executing tests with Poetry 71 | 72 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | !.github/workflows 2 | 3 | /my-app/node_modules 4 | 5 | examples/sales_agent_bedrock.ipynb 6 | 7 | *.log 8 | **.env 9 | .env.fe 10 | .DS_Store 11 | **__pycache__ 12 | /scratch 13 | **.chroma/ 14 | .env.filip 15 | 16 | 17 | # Distribution / packaging 18 | .Python 19 | build/ 20 | develop-eggs/ 21 | dist/ 22 | downloads/ 23 | eggs/ 24 | .eggs/ 25 | lib/ 26 | lib64/ 27 | parts/ 28 | sdist/ 29 | var/ 30 | wheels/ 31 | pip-wheel-metadata/ 32 | share/python-wheels/ 33 | *.egg-info/ 34 | .installed.cfg 35 | *.egg 36 | MANIFEST 37 | 38 | WadaSNR/ 39 | .idea/ 40 | *.pyc 41 | .DS_Store 42 | ./__init__.py 43 | # Byte-compiled / optimized / DLL files 44 | __pycache__/ 45 | *.py[cod] 46 | *$py.class 47 | 48 | # C extensions 49 | *.so 50 | 51 | # Distribution / packaging 52 | .Python 53 | build/ 54 | develop-eggs/ 55 | dist/ 56 | downloads/ 57 | eggs/ 58 | .eggs/ 59 | lib/ 60 | lib64/ 61 | parts/ 62 | sdist/ 63 | var/ 64 | wheels/ 65 | *.egg-info/ 66 | .installed.cfg 67 | *.egg 68 | MANIFEST 69 | 70 | # PyInstaller 71 | # Usually these files are written by a python script from a template 72 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 73 | *.manifest 74 | *.spec 75 | 76 | # Installer logs 77 | pip-log.txt 78 | pip-delete-this-directory.txt 79 | 80 | # Unit test / coverage reports 81 | htmlcov/ 82 | .tox/ 83 | .coverage 84 | .coverage.* 85 | .cache 86 | nosetests.xml 87 | coverage.xml 88 | *.cover 89 | .hypothesis/ 90 | 91 | # Translations 92 | *.mo 93 | *.pot 94 | 95 | # Django stuff: 96 | *.log 97 | .static_storage/ 98 | .media/ 99 | local_settings.py 100 | 101 | # Flask stuff: 102 | instance/ 103 | .webassets-cache 104 | 105 | # Scrapy stuff: 106 | .scrapy 107 | 108 | # Sphinx documentation 109 | docs/_build/ 110 | 111 | # PyBuilder 112 | target/ 113 | 114 | # Jupyter Notebook 115 | .ipynb_checkpoints 116 | 117 | # pyenv 118 | .python-version 119 | 120 | # celery beat schedule file 121 | celerybeat-schedule 122 | 123 | # SageMath parsed files 124 | *.sage.py 125 | 126 | # Environments 127 | .env 128 | .env.local 129 | .env.production 130 | .venv 131 | env/ 132 | venv/ 133 | ENV/ 134 | env.bak/ 135 | venv.bak/ 136 | website/docs/.env 137 | 138 | # Spyder project settings 139 | .spyderproject 140 | .spyproject 141 | 142 | # Rope project settings 143 | .ropeproject 144 | 145 | # mkdocs documentation 146 | /site 147 | 148 | # mypy 149 | .mypy_cache/ 150 | 151 | # vim 152 | *.swp 153 | *.swm 154 | *.swn 155 | *.swo 156 | 157 | # pytorch models 158 | *.pth 159 | *.pth.tar 160 | !dummy_speakers.pth 161 | result/ 162 | 163 | # setup.py 164 | version.py 165 | 166 | # jupyter dummy files 167 | core 168 | 169 | # ignore local datasets 170 | recipes/WIP/* 171 | recipes/ljspeech/LJSpeech-1.1/* 172 | recipes/vctk/VCTK/* 173 | recipes/**/*.npy 174 | recipes/**/*.json 175 | VCTK-Corpus-removed-silence/* 176 | 177 | # ignore training logs 178 | trainer_*_log.txt 179 | 180 | # files used internally for dev, test etc. 181 | tests/outputs/* 182 | tests/train_outputs/* 183 | TODO.txt 184 | .vscode/* 185 | data/* 186 | notebooks/data/* 187 | TTS/tts/utils/monotonic_align/core.c 188 | .vscode-upload.json 189 | temp_build/* 190 | events.out* 191 | old_configs/* 192 | model_importers/* 193 | model_profiling/* 194 | docs/source/TODO/* 195 | .noseids 196 | .dccache 197 | log.txt 198 | umap.png 199 | *.out 200 | SocialMedia.txt 201 | output.wav 202 | tts_output.wav 203 | deps.json 204 | speakers.json 205 | internal/* 206 | *_pitch.npy 207 | *_phoneme.npy 208 | wandb 209 | depot/* 210 | litellm_uuid.txt 211 | -------------------------------------------------------------------------------- /CHANGELOG.txt: -------------------------------------------------------------------------------- 1 | Updates to the SalesGPT project: Building the world's best AI Sales Agents and virtual workers. 2 | 3 | May 8, 2024 4 | --------------- 5 | Version 0.1.3 6 | - SalesGPT has analytics tracking built into documentation for improved understanding of important features and update necessities 7 | - Added option for local frontend startup with ENVIRONMENT variable 8 | 9 | March 22, 2024 10 | --------------- 11 | Version 0.1.2 12 | - SalesGPT can now sell by negotiation with users and then sending them a stripe link to pay. 13 | - Added SalesGPT frontend for testing 14 | 15 | January 29, 2024 16 | --------------- 17 | Version 0.1.1 18 | - updated compatibility to match LangChain 0.1 including examples 19 | - WIP of the website and API documentation. 20 | 21 | December 10, 2023 22 | --------------- 23 | Version 0.1.0 24 | - Migrated dependency management to Poetry. 25 | - added makefile for easy installation and testing. 26 | - expanded compatibility for python 3.8, 3.9, 3.10, and 3.11 27 | - detailed installation + contribution instructions 28 | 29 | November 25, 2023 30 | --------------- 31 | Version 0.0.9 32 | - Fixed dependency on openai 1.0.0 SDK which works with our streaming module. 33 | 34 | October 4, 2023 35 | --------------- 36 | Version 0.0.8 37 | - Improved streaming endpoint, now accessible with simple `stream=True` kwarg. 38 | - Fixed dependency issues with `pydantic` version. 39 | - Removed the duplicate calling of `model_name`. 40 | - Improved docstrings. 41 | - Split `requirements.txt` into dev and production requirements. 42 | 43 | September 8, 2023 44 | --------------- 45 | Version 0.0.7 46 | - SalesGPT is now compatible with LiteLLM - choose any closed/open-sourced LLM 47 | to work with SalesGPT. 48 | 49 | August 23, 2023 50 | --------------- 51 | Version 0.0.6 52 | - "use_tools" as a keyword argument (kwarg) is treated as STRING i.e., agent_config["use_tools"]="True" 53 | to be consistent with JSON payloads. 54 | - add asynchronous streaming generator. 55 | 56 | August 18, 2023 57 | --------------- 58 | - SalesGPT API - added chat as a service and Chinese language SalesGPT prompt, huge thanks to @janewu77! 59 | 60 | July 29, 2023 61 | ------------- 62 | Version 0.0.5 63 | - Minor update, remove unneccesary verbosity from `SalesGPT.from_llm` method. 64 | 65 | July 15, 2023 66 | ------------- 67 | 68 | Version 0.0.4 69 | - Added tools to SalesGPT, creating a true agent. 70 | - Added product knowledge base as an example tool 71 | 72 | ------------- -------------------------------------------------------------------------------- /CONTRIBUTING.md: -------------------------------------------------------------------------------- 1 | # Project Setup Instructions 2 | 3 | ## Introduction 4 | 5 | This CONTRIBUTING document provides instructions for setting up your development environment for our project. It includes steps for creating a virtual environment, installing Python, using Poetry for dependency management, and cloning the project from GitHub and running a trial of our project. 6 | 7 | ## Why Use a Virtual Environment? 8 | 9 | A virtual environment is a self-contained directory that holds a specific version of Python and various packages. Using a virtual environment allows you to manage dependencies for different projects separately, avoiding conflicts and ensuring consistency across development setups. 10 | 11 | ## Prerequisites 12 | 13 | - Access to a command-line interface (Terminal for Mac, Command Prompt or PowerShell for Windows) 14 | - Internet connection 15 | 16 | ### 1. Installing Python 17 | 18 | If you do not have Python 3.8 or higher, or would like a separate Python version for this project, follow these steps to download and install it. You can download and install a new version of Python without overwriting your current version. Python supports having multiple versions installed on the same system. 19 | 20 | #### For Windows: 21 | 22 | - Download the Installer: Go to the official Python website and download the installer for the new Python version. 23 | - Run the Installer: Launch the installer. Be sure to select the option to “Customize installation”. 24 | - Choose a Different Directory: During the installation process, specify a different installation directory than the one used by your current Python version. 25 | - Update the Environment Variables (Optional): If you want to use the new Python version as the default in your command line, you can update the PATH environment variable to point to the new installation. 26 | 27 | #### For Mac: 28 | 29 | - Download Python: Visit the official Python website and download the desired Python versions. 30 | - Install Python: Open the downloaded installer and follow the instructions. 31 | - Verify Installations: Open Terminal and check the installations by typing `python3.x --version`, where `3.x` corresponds to the version numbers you've installed. 32 | 33 | ### 2. Creating a Virtual Environment 34 | 35 | #### For Windows: 36 | 37 | - Open Command Prompt or PowerShell. 38 | - Navigate to your project directory: `cd path\to\your\project` 39 | - Create a virtual environment: `python -m venv env` 40 | - Activate the virtual environment: `.\env\Scripts\activate` 41 | 42 | #### For Mac: 43 | 44 | - Open Terminal. 45 | - Navigate to your project directory: `cd path/to/your/project` 46 | - Create a virtual environment: `python3 -m venv env` 47 | - Activate the virtual environment: `source env/bin/activate` 48 | 49 | ### 3. Installing Poetry 50 | 51 | Poetry is a tool for dependency management and packaging in Python. 52 | 53 | #### For Windows and Mac: 54 | 55 | - Ensure your virtual environment is active. 56 | - Make sure you have the latest version of pip using: `pip install -U pip setuptools` 57 | - Install Poetry by running: `pip install poetry` 58 | 59 | ### 4. Cloning the GitHub Repository 60 | 61 | To clone the project repository: 62 | 63 | - Ensure git is installed on your system. If not, download and install from git-scm.com. 64 | - Navigate to the directory where you want to clone the repository. 65 | - Clone the repository: `git clone https://github.com/filip-michalsky/SalesGPT.git`. 66 | 67 | ### 5. Installing Dependencies with Poetry 68 | 69 | Dependencies must be installed to ensure all necessary libraries and packages are available for the project. 70 | 71 | #### For Windows and Mac: 72 | 73 | - Run `poetry install` in the project directory. 74 | - This command reads the `pyproject.toml` file and installs all listed dependencies. 75 | 76 | ### 6. Setting Up Environment Variables 77 | 78 | Environment variables, including API keys, are crucial for the project's configuration and security. 79 | 80 | #### For Windows and Mac: 81 | 82 | - Create a `.env` file in the project root. 83 | - Use the `.env.example` file as a template. 84 | - Add your API keys and other necessary variables, following the example's format. 85 | - This step ensures that your personal and project-specific configurations are correctly set up. 86 | 87 | ### 7. Running Tests with Pytest 88 | 89 | Running tests is essential for ensuring the integrity and functionality of the code. 90 | 91 | #### For Windows and Mac: 92 | 93 | - Execute `make test` in the command line. 94 | - This command runs all test cases in the project. 95 | - Ensure there are no failures; warnings can be ignored. 96 | - Successful test runs indicate that the setup and project code are functioning correctly. 97 | 98 | ## Conclusion 99 | 100 | You now have a complete setup for developing the project, including dependency management and testing. Always activate the virtual environment before working on the project. 101 | -------------------------------------------------------------------------------- /Dockerfile.backend: -------------------------------------------------------------------------------- 1 | # Use an official Python runtime as a parent image 2 | FROM python:3.11.8-bookworm 3 | 4 | # Set the working directory in the container 5 | WORKDIR /app 6 | 7 | COPY requirements.txt . 8 | 9 | RUN pip install -r requirements.txt 10 | 11 | # Make port 8000 available to the world outside this container 12 | EXPOSE 8000 13 | 14 | # Copy the current directory contents into the container at /app 15 | COPY . /app 16 | 17 | # Define environment variable 18 | ENV MODULE_NAME="run_api" 19 | ENV VARIABLE_NAME="app" 20 | ENV PORT="8000" 21 | 22 | # Run FastAPI server when the container launches 23 | CMD ["uvicorn", "run_api:app", "--reload", "--host", "0.0.0.0", "--port", "8000"] 24 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2023 Filip Michalsky 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. -------------------------------------------------------------------------------- /MANIFEST.in: -------------------------------------------------------------------------------- 1 | include requirements.txt 2 | -------------------------------------------------------------------------------- /Makefile: -------------------------------------------------------------------------------- 1 | # Define shell to use 2 | #SHELL := /bin/bash 3 | 4 | # Define Python interpreter 5 | #PYTHON_MAC := python3 6 | #PYTHON_WINDOWS := python 7 | 8 | # Define virtual environment directory 9 | VENV := env 10 | 11 | # Default target executed when no arguments are given to make. 12 | default: test 13 | 14 | test: ## run tests with pytest. 15 | @echo "Running tests..." 16 | @pytest --cov=salesgpt --cov-report=term-missing --cov-report=html 17 | @echo "Tests executed." 18 | 19 | test_tools: 20 | @echo "Running tests in tests/test_tools.py..." 21 | @pytest tests/test_tools.py --cov=salesgpt --cov-report=term-missing --cov-report=html 22 | @echo "Tests in tests/test_tools.py executed." 23 | 24 | 25 | # Set up the development environment 26 | setup: 27 | pip install -U pip setuptools 28 | pip install poetry 29 | @echo "Poetry installed." 30 | @echo "Installing project dependencies using Poetry." 31 | poetry install 32 | @echo "Dependencies installed." 33 | 34 | # Clean up the environment 35 | clean: 36 | @echo "Cleaning up..." 37 | rm -rf $(VENV) 38 | rm -rf SalesGPT 39 | @echo "Environment cleaned up." 40 | 41 | .PHONY: default setup test clean 42 | -------------------------------------------------------------------------------- /api-website/Makefile: -------------------------------------------------------------------------------- 1 | # Minimal makefile for Sphinx documentation 2 | # 3 | 4 | # You can set these variables from the command line, and also 5 | # from the environment for the first two. 6 | SPHINXOPTS ?= 7 | SPHINXBUILD ?= sphinx-build 8 | SOURCEDIR = . 9 | BUILDDIR = _build 10 | 11 | # Put it first so that "make" without argument is like "make help". 12 | help: 13 | @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) 14 | 15 | .PHONY: help Makefile 16 | 17 | # Catch-all target: route all unknown targets to Sphinx using the new 18 | # "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). 19 | %: Makefile 20 | @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) 21 | -------------------------------------------------------------------------------- /api-website/_build/doctrees/environment.pickle: -------------------------------------------------------------------------------- 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When it is not found, a full rebuild will be done. 3 | config: c5bf57642e839bbe8412743aae371109 4 | tags: 645f666f9bcd5a90fca523b33c5a78b7 5 | -------------------------------------------------------------------------------- /api-website/_build/html/_sources/googleanalytics/README.rst.txt: -------------------------------------------------------------------------------- 1 | .. -*- restructuredtext -*- 2 | 3 | =========================================== 4 | Google Analytics extension for Sphinx 5 | =========================================== 6 | 7 | :author: Domen Kožar 8 | 9 | 10 | About 11 | ===== 12 | 13 | This extensions allows you to track generated html files 14 | with Google Analytics web service. 15 | 16 | 17 | Installing from sphinx-contrib checkout 18 | --------------------------------------- 19 | 20 | Checkout googleanalytics sphinx extension:: 21 | 22 | $ git clone https://github.com/sphinx-contrib/googleanalytics 23 | 24 | Change into the googleanalytics directory:: 25 | 26 | $ cd googleanalytics 27 | 28 | Install the module:: 29 | 30 | $ python setup.py install 31 | 32 | 33 | Enabling the extension in Sphinx_ 34 | --------------------------------- 35 | 36 | Just add ``sphinxcontrib.googleanalytics`` to the list of extensions in the ``conf.py`` 37 | file. For example:: 38 | 39 | extensions = ['sphinxcontrib.googleanalytics'] 40 | 41 | 42 | Configuration 43 | ------------- 44 | 45 | For now one optional configuration is added to Sphinx_. It can be set in 46 | ``conf.py`` file: 47 | 48 | ``googleanalytics_id`` : 49 | UA id for your site, example:: 50 | googleanalytics_id = 'UA-123-123-123' 51 | 52 | ``googleanalytics_enabled`` : 53 | True by default, use it to turn off tracking. 54 | 55 | 56 | .. Links: 57 | .. _gnuplot: http://www.gnuplot.info/ 58 | .. _Sphinx: http://sphinx.pocoo.org/ 59 | 60 | -------------------------------------------------------------------------------- /api-website/_build/html/_sources/index.rst.txt: -------------------------------------------------------------------------------- 1 | .. SalesGPT documentation master file, created by 2 | sphinx-quickstart on Thu Jan 18 11:25:41 2024. 3 | You can adapt this file completely to your liking, but it should at least 4 | contain the root `toctree` directive. 5 | 6 | Welcome to SalesGPT's documentation! 7 | ==================================== 8 | 9 | .. toctree:: 10 | :maxdepth: 2 11 | :caption: Contents: 12 | 13 | Agents 14 | Chains 15 | Logger 16 | Parsers 17 | Prompts 18 | Prompts_cn 19 | SalesGPT API 20 | Stages 21 | Templates 22 | Tools 23 | Version 24 | 25 | .. role:: red-text 26 | 27 | :red-text:`We have just begun building this website and are still actively working on it. Any suggestions to improve readability / desired contents are welcome! Please contact @chemik-bit on Github.` 28 | 29 | Indices and tables 30 | ================== 31 | 32 | * :ref:`genindex` 33 | * :ref:`modindex` 34 | * :ref:`search` 35 | 36 | -------------------------------------------------------------------------------- /api-website/_build/html/_sources/modules.rst.txt: -------------------------------------------------------------------------------- 1 | salesgpt 2 | ======== 3 | 4 | .. toctree:: 5 | :maxdepth: 4 6 | 7 | salesgpt 8 | -------------------------------------------------------------------------------- /api-website/_build/html/_sources/salesgpt.rst.txt: -------------------------------------------------------------------------------- 1 | salesgpt package 2 | ================ 3 | 4 | Submodules 5 | ---------- 6 | 7 | salesgpt.agents module 8 | ---------------------- 9 | 10 | .. automodule:: salesgpt.agents 11 | :members: 12 | :undoc-members: 13 | :show-inheritance: 14 | 15 | salesgpt.chains module 16 | ---------------------- 17 | 18 | .. automodule:: salesgpt.chains 19 | :members: 20 | :undoc-members: 21 | :show-inheritance: 22 | 23 | salesgpt.logger module 24 | ---------------------- 25 | 26 | .. automodule:: salesgpt.logger 27 | :members: 28 | :undoc-members: 29 | :show-inheritance: 30 | 31 | salesgpt.parsers module 32 | ----------------------- 33 | 34 | .. automodule:: salesgpt.parsers 35 | :members: 36 | :undoc-members: 37 | :show-inheritance: 38 | 39 | salesgpt.prompts module 40 | ----------------------- 41 | 42 | .. automodule:: salesgpt.prompts 43 | :members: 44 | :undoc-members: 45 | :show-inheritance: 46 | 47 | salesgpt.prompts\_cn module 48 | --------------------------- 49 | 50 | .. automodule:: salesgpt.prompts_cn 51 | :members: 52 | :undoc-members: 53 | :show-inheritance: 54 | 55 | salesgpt.salesgptapi module 56 | --------------------------- 57 | 58 | .. automodule:: salesgpt.salesgptapi 59 | :members: 60 | :undoc-members: 61 | :show-inheritance: 62 | 63 | salesgpt.stages module 64 | ---------------------- 65 | 66 | .. automodule:: salesgpt.stages 67 | :members: 68 | :undoc-members: 69 | :show-inheritance: 70 | 71 | salesgpt.templates module 72 | ------------------------- 73 | 74 | .. automodule:: salesgpt.templates 75 | :members: 76 | :undoc-members: 77 | :show-inheritance: 78 | 79 | salesgpt.tools module 80 | --------------------- 81 | 82 | .. automodule:: salesgpt.tools 83 | :members: 84 | :undoc-members: 85 | :show-inheritance: 86 | 87 | salesgpt.version module 88 | ----------------------- 89 | 90 | .. automodule:: salesgpt.version 91 | :members: 92 | :undoc-members: 93 | :show-inheritance: 94 | 95 | Module contents 96 | --------------- 97 | 98 | .. automodule:: salesgpt 99 | :members: 100 | :undoc-members: 101 | :show-inheritance: 102 | -------------------------------------------------------------------------------- /api-website/_build/html/_sources/salesgpt/modules.rst.txt: -------------------------------------------------------------------------------- 1 | salesgpt 2 | ======== 3 | 4 | .. toctree:: 5 | :maxdepth: 4 6 | 7 | salesgpt 8 | -------------------------------------------------------------------------------- /api-website/_build/html/_sources/salesgpt/salesgpt.agents.rst.txt: -------------------------------------------------------------------------------- 1 | salesgpt.agents module 2 | ====================== 3 | 4 | .. automodule:: salesgpt.agents 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/_build/html/_sources/salesgpt/salesgpt.chains.rst.txt: -------------------------------------------------------------------------------- 1 | salesgpt.chains module 2 | ====================== 3 | 4 | .. automodule:: salesgpt.chains 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/_build/html/_sources/salesgpt/salesgpt.logger.rst.txt: -------------------------------------------------------------------------------- 1 | salesgpt.logger module 2 | ====================== 3 | 4 | .. automodule:: salesgpt.logger 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/_build/html/_sources/salesgpt/salesgpt.parsers.rst.txt: -------------------------------------------------------------------------------- 1 | salesgpt.parsers module 2 | ======================= 3 | 4 | .. automodule:: salesgpt.parsers 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/_build/html/_sources/salesgpt/salesgpt.prompts.rst.txt: -------------------------------------------------------------------------------- 1 | salesgpt.prompts module 2 | ======================= 3 | 4 | .. automodule:: salesgpt.prompts 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/_build/html/_sources/salesgpt/salesgpt.prompts_cn.rst.txt: -------------------------------------------------------------------------------- 1 | salesgpt.prompts\_cn module 2 | =========================== 3 | 4 | .. automodule:: salesgpt.prompts_cn 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/_build/html/_sources/salesgpt/salesgpt.rst.txt: -------------------------------------------------------------------------------- 1 | salesgpt package 2 | ================ 3 | 4 | Submodules 5 | ---------- 6 | 7 | .. toctree:: 8 | :maxdepth: 4 9 | :caption: Contents: 10 | 11 | salesgpt.agents 12 | salesgpt.chains 13 | salesgpt.logger 14 | salesgpt.parsers 15 | salesgpt.prompts 16 | salesgpt.prompts_cn 17 | salesgpt.salesgptapi 18 | salesgpt.stages 19 | salesgpt.templates 20 | salesgpt.tools 21 | salesgpt.version 22 | 23 | Module contents 24 | --------------- 25 | 26 | .. automodule:: salesgpt 27 | :members: 28 | :undoc-members: 29 | :show-inheritance: 30 | -------------------------------------------------------------------------------- /api-website/_build/html/_sources/salesgpt/salesgpt.salesgptapi.rst.txt: -------------------------------------------------------------------------------- 1 | salesgpt.salesgptapi module 2 | =========================== 3 | 4 | .. automodule:: salesgpt.salesgptapi 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/_build/html/_sources/salesgpt/salesgpt.stages.rst.txt: -------------------------------------------------------------------------------- 1 | salesgpt.stages module 2 | ====================== 3 | 4 | .. automodule:: salesgpt.stages 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/_build/html/_sources/salesgpt/salesgpt.templates.rst.txt: -------------------------------------------------------------------------------- 1 | salesgpt.templates module 2 | ========================= 3 | 4 | .. automodule:: salesgpt.templates 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/_build/html/_sources/salesgpt/salesgpt.tools.rst.txt: -------------------------------------------------------------------------------- 1 | salesgpt.tools module 2 | ===================== 3 | 4 | .. automodule:: salesgpt.tools 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/_build/html/_sources/salesgpt/salesgpt.version.rst.txt: 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100 | 105 | 106 | 107 | -------------------------------------------------------------------------------- /api-website/_static/custom.css: -------------------------------------------------------------------------------- 1 | .red-text { 2 | color: red; 3 | } 4 | 5 | .wy-menu-extra { 6 | margin-top: 20px; /* Adjust the space above the button */ 7 | text-align: center; /* Center the button */ 8 | } 9 | 10 | .btn-primary { 11 | background-color: #000000; /* Change to black */ 12 | color: #FFFFFF; /* Change to white */ 13 | border-radius: 5px; 14 | padding: 10px 15px; 15 | display: inline-block; 16 | text-decoration: none; 17 | box-shadow: 0 2px 5px rgba(0,0,0,0.2); 18 | transition: background-color 0.3s ease; 19 | } 20 | 21 | .btn-primary:hover, .btn-primary:focus { 22 | background-color: #0000FF; /* Keep the hover color blue */ 23 | color: #FFFFFF; /* Change the hover text color to white */ 24 | text-decoration: none; 25 | } -------------------------------------------------------------------------------- /api-website/_static/google_analytics_tracker.js: -------------------------------------------------------------------------------- 1 | window.dataLayer = window.dataLayer || []; 2 | function gtag(){dataLayer.push(arguments);} 3 | gtag('js', new Date()); 4 | gtag('config', 'GTM-NX3SZD79'); -------------------------------------------------------------------------------- /api-website/conf.py: -------------------------------------------------------------------------------- 1 | # Configuration file for the Sphinx documentation builder. 2 | # 3 | # This file only contains a selection of the most common options. For a full 4 | # list see the documentation: 5 | # https://www.sphinx-doc.org/en/master/usage/configuration.html 6 | 7 | # -- Path setup -------------------------------------------------------------- 8 | 9 | # If extensions (or modules to document with autodoc) are in another directory, 10 | # add these directories to sys.path here. If the directory is relative to the 11 | # documentation root, use os.path.abspath to make it absolute, like shown here. 12 | # 13 | import os 14 | import sys 15 | sys.path.insert(0, os.path.abspath('..')) #Source path 16 | 17 | 18 | # -- Project information ----------------------------------------------------- 19 | 20 | project = 'SalesGPT' 21 | copyright = '2024, Filip-Michalsky' 22 | author = 'Filip-Michalsky' 23 | 24 | import os 25 | googleanalytics_id = os.getenv('googleanalytics_id') 26 | 27 | # -- General configuration --------------------------------------------------- 28 | 29 | # Add any Sphinx extension module names here, as strings. They can be 30 | # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom 31 | # ones. 32 | extensions = ['sphinx.ext.autodoc', 33 | 'sphinxcontrib.googleanalytics' 34 | ] 35 | 36 | 37 | 38 | # Add any paths that contain templates here, relative to this directory. 39 | templates_path = ['_templates'] 40 | 41 | # List of patterns, relative to source directory, that match files and 42 | # directories to ignore when looking for source files. 43 | # This pattern also affects html_static_path and html_extra_path. 44 | exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] 45 | 46 | 47 | # -- Options for HTML output ------------------------------------------------- 48 | 49 | # The theme to use for HTML and HTML Help pages. See the documentation for 50 | # a list of builtin themes. 51 | # 52 | html_theme = 'sphinx_rtd_theme' 53 | 54 | # Add any paths that contain custom static files (such as style sheets) here, 55 | # relative to this directory. They are copied after the builtin static files, 56 | # so a file named "default.css" will overwrite the builtin "default.css". 57 | html_static_path = ['_static'] 58 | html_css_files = [ 59 | 'custom.css', # add your custom CSS file here 60 | ] 61 | -------------------------------------------------------------------------------- /api-website/index.rst: -------------------------------------------------------------------------------- 1 | .. SalesGPT documentation master file, created by 2 | sphinx-quickstart on Thu Jan 18 11:25:41 2024. 3 | You can adapt this file completely to your liking, but it should at least 4 | contain the root `toctree` directive. 5 | 6 | Welcome to SalesGPT's documentation! 7 | ==================================== 8 | 9 | .. toctree:: 10 | :maxdepth: 2 11 | :caption: Contents: 12 | 13 | Agents 14 | Chains 15 | Logger 16 | Parsers 17 | Prompts 18 | Prompts_cn 19 | SalesGPT API 20 | Stages 21 | Templates 22 | Tools 23 | Version 24 | 25 | .. role:: red-text 26 | 27 | :red-text:`We have just begun building this website and are still actively working on it. Any suggestions to improve readability / desired contents are welcome! Please contact @chemik-bit on Github.` 28 | 29 | Indices and tables 30 | ================== 31 | 32 | * :ref:`genindex` 33 | * :ref:`modindex` 34 | * :ref:`search` 35 | 36 | -------------------------------------------------------------------------------- /api-website/make.bat: -------------------------------------------------------------------------------- 1 | @ECHO OFF 2 | 3 | pushd %~dp0 4 | 5 | REM Command file for Sphinx documentation 6 | 7 | if "%SPHINXBUILD%" == "" ( 8 | set SPHINXBUILD=sphinx-build 9 | ) 10 | set SOURCEDIR=. 11 | set BUILDDIR=_build 12 | 13 | %SPHINXBUILD% >NUL 2>NUL 14 | if errorlevel 9009 ( 15 | echo. 16 | echo.The 'sphinx-build' command was not found. Make sure you have Sphinx 17 | echo.installed, then set the SPHINXBUILD environment variable to point 18 | echo.to the full path of the 'sphinx-build' executable. Alternatively you 19 | echo.may add the Sphinx directory to PATH. 20 | echo. 21 | echo.If you don't have Sphinx installed, grab it from 22 | echo.https://www.sphinx-doc.org/ 23 | exit /b 1 24 | ) 25 | 26 | if "%1" == "" goto help 27 | 28 | %SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% 29 | goto end 30 | 31 | :help 32 | %SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% 33 | 34 | :end 35 | popd 36 | -------------------------------------------------------------------------------- /api-website/package.json: -------------------------------------------------------------------------------- 1 | { 2 | "scripts": { 3 | "build": "pip install sphinx && make html" 4 | } 5 | } 6 | -------------------------------------------------------------------------------- /api-website/requirements.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/filip-michalsky/SalesGPT/7cd1d4f9fae2a5610fac76e1c0edc38a2fafd388/api-website/requirements.txt -------------------------------------------------------------------------------- /api-website/salesgpt/modules.rst: -------------------------------------------------------------------------------- 1 | salesgpt 2 | ======== 3 | 4 | .. toctree:: 5 | :maxdepth: 4 6 | 7 | salesgpt 8 | -------------------------------------------------------------------------------- /api-website/salesgpt/salesgpt.agents.rst: -------------------------------------------------------------------------------- 1 | salesgpt.agents module 2 | ====================== 3 | 4 | .. automodule:: salesgpt.agents 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/salesgpt/salesgpt.chains.rst: -------------------------------------------------------------------------------- 1 | salesgpt.chains module 2 | ====================== 3 | 4 | .. automodule:: salesgpt.chains 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/salesgpt/salesgpt.logger.rst: -------------------------------------------------------------------------------- 1 | salesgpt.logger module 2 | ====================== 3 | 4 | .. automodule:: salesgpt.logger 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/salesgpt/salesgpt.parsers.rst: -------------------------------------------------------------------------------- 1 | salesgpt.parsers module 2 | ======================= 3 | 4 | .. automodule:: salesgpt.parsers 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/salesgpt/salesgpt.prompts.rst: -------------------------------------------------------------------------------- 1 | salesgpt.prompts module 2 | ======================= 3 | 4 | .. automodule:: salesgpt.prompts 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/salesgpt/salesgpt.prompts_cn.rst: -------------------------------------------------------------------------------- 1 | salesgpt.prompts\_cn module 2 | =========================== 3 | 4 | .. automodule:: salesgpt.prompts_cn 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/salesgpt/salesgpt.rst: -------------------------------------------------------------------------------- 1 | salesgpt package 2 | ================ 3 | 4 | Submodules 5 | ---------- 6 | 7 | .. toctree:: 8 | :maxdepth: 4 9 | :caption: Contents: 10 | 11 | salesgpt.agents 12 | salesgpt.chains 13 | salesgpt.logger 14 | salesgpt.parsers 15 | salesgpt.prompts 16 | salesgpt.prompts_cn 17 | salesgpt.salesgptapi 18 | salesgpt.stages 19 | salesgpt.templates 20 | salesgpt.tools 21 | salesgpt.version 22 | 23 | Module contents 24 | --------------- 25 | 26 | .. automodule:: salesgpt 27 | :members: 28 | :undoc-members: 29 | :show-inheritance: 30 | -------------------------------------------------------------------------------- /api-website/salesgpt/salesgpt.salesgptapi.rst: -------------------------------------------------------------------------------- 1 | salesgpt.salesgptapi module 2 | =========================== 3 | 4 | .. automodule:: salesgpt.salesgptapi 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/salesgpt/salesgpt.stages.rst: -------------------------------------------------------------------------------- 1 | salesgpt.stages module 2 | ====================== 3 | 4 | .. automodule:: salesgpt.stages 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/salesgpt/salesgpt.templates.rst: -------------------------------------------------------------------------------- 1 | salesgpt.templates module 2 | ========================= 3 | 4 | .. automodule:: salesgpt.templates 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/salesgpt/salesgpt.tools.rst: -------------------------------------------------------------------------------- 1 | salesgpt.tools module 2 | ===================== 3 | 4 | .. automodule:: salesgpt.tools 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /api-website/salesgpt/salesgpt.version.rst: -------------------------------------------------------------------------------- 1 | salesgpt.version module 2 | ======================= 3 | 4 | .. automodule:: salesgpt.version 5 | :members: 6 | :undoc-members: 7 | :show-inheritance: 8 | -------------------------------------------------------------------------------- /calendly.py: -------------------------------------------------------------------------------- 1 | import os 2 | import requests 3 | from dotenv import load_dotenv 4 | load_dotenv() 5 | 6 | def list_available_event_type_uuids(): 7 | '''List available event type UUIDs from the Calendly account''' 8 | api_key = os.getenv('CALENDLY_API_KEY') 9 | headers = { 10 | 'Authorization': f'Bearer {api_key}', 11 | 'Content-Type': 'application/json' 12 | } 13 | url = 'https://api.calendly.com/event_types' 14 | 15 | response = requests.get(url, headers=headers) 16 | if response.status_code == 200: 17 | data = response.json() 18 | event_types = data.get('collection', []) 19 | uuids = [event_type['uri'].split('/')[-1] for event_type in event_types] 20 | return uuids 21 | else: 22 | return f"Failed to retrieve event types: {response.status_code} - {response.text}" 23 | 24 | def generate_calendly_invitation_link(query): 25 | '''Generate a calendly invitation link based on the single query string''' 26 | event_type_uuid = os.getenv("CALENDLY_EVENT_UUID") 27 | if not event_type_uuid: 28 | available_uuids = list_available_event_type_uuids() 29 | if isinstance(available_uuids, str): 30 | return available_uuids # Return error message if failed to retrieve UUIDs 31 | elif available_uuids: 32 | event_type_uuid = available_uuids[0] # Use the first available UUID 33 | else: 34 | return "No available event types found in your Calendly account." 35 | 36 | api_key = os.getenv('CALENDLY_API_KEY') 37 | headers = { 38 | 'Authorization': f'Bearer {api_key}', 39 | 'Content-Type': 'application/json' 40 | } 41 | url = 'https://api.calendly.com/scheduling_links' 42 | payload = { 43 | "max_event_count": 1, 44 | "owner": f"https://api.calendly.com/event_types/{event_type_uuid}", 45 | "owner_type": "EventType" 46 | } 47 | 48 | response = requests.post(url, json=payload, headers=headers) 49 | if response.status_code == 201: 50 | data = response.json() 51 | return f"url: {data['resource']['booking_url']}" 52 | else: 53 | return f"Failed to create Calendly link: {response.status_code} - {response.text}" 54 | 55 | print(generate_calendly_invitation_link('test')) 56 | 57 | -------------------------------------------------------------------------------- /docker-compose.yml: -------------------------------------------------------------------------------- 1 | version: '3.8' 2 | services: 3 | frontend: 4 | build: 5 | context: ./frontend 6 | dockerfile: Dockerfile.frontend 7 | volumes: 8 | - ./frontend:/usr/src/app 9 | container_name: frontend 10 | environment: 11 | - NEXT_PUBLIC_API_URL=http://localhost:8000 12 | env_file: # Added line for specifying an environment file 13 | - .env.fe # Specifying the .env.fe file 14 | ports: 15 | - "3000:3000" 16 | depends_on: 17 | - backend 18 | stdin_open: true 19 | tty: true 20 | 21 | backend: 22 | build: 23 | context: ./ 24 | dockerfile: Dockerfile.backend 25 | volumes: 26 | - .:/app 27 | container_name: backend 28 | env_file: 29 | - .env 30 | ports: 31 | - "8000:8000" 32 | # Removed the ports section from backend as it is not allowed in build context 33 | -------------------------------------------------------------------------------- /examples/example_agent_setup.json: -------------------------------------------------------------------------------- 1 | { 2 | "salesperson_name": "Ted Lasso", 3 | "salesperson_role": "Business Development Representative", 4 | "company_name": "Sleep Haven", 5 | "company_business": "Sleep Haven is a premium mattress company that provides customers with the most comfortable and supportive sleeping experience possible. We offer a range of high-quality mattresses, pillows, and bedding accessories that are designed to meet the unique needs of our customers.", 6 | "company_values": "Our mission at Sleep Haven is to help people achieve a better night's sleep by providing them with the best possible sleep solutions. We believe that quality sleep is essential to overall health and well-being, and we are committed to helping our customers achieve optimal sleep by offering exceptional products and customer service.", 7 | "conversation_purpose": "find out whether they are looking to achieve better sleep via buying a premier mattress.", 8 | "conversation_type": "call", 9 | "use_custom_prompt": "True", 10 | "custom_prompt": "Never forget your name is {salesperson_name}. You work as a {salesperson_role}.\nYou work at company named {company_name}. {company_name}'s business is the following: {company_business}.\nCompany values are the following. {company_values}\nYou are contacting a potential prospect in order to {conversation_purpose}\nYour means of contacting the prospect is {conversation_type}\n\nIf you're asked about where you got the user's contact information, say that you got it from public records.\nKeep your responses in short length to retain the user's attention. Never produce lists, just answers.\nStart the conversation by just a greeting and how is the prospect doing without pitching in your first turn.\nWhen the conversation is over, output \nAlways think about at which conversation stage you are at before answering:\n\n1: Introduction: Start the conversation by introducing yourself and your company. Be polite and respectful while keeping the tone of the conversation professional. Your greeting should be welcoming. Always clarify in your greeting the reason why you are calling.\n2: Qualification: Qualify the prospect by confirming if they are the right person to talk to regarding your product/service. Ensure that they have the authority to make purchasing decisions.\n3: Value proposition: Briefly explain how your product/service can benefit the prospect. Focus on the unique selling points and value proposition of your product/service that sets it apart from competitors.\n4: Needs analysis: Ask open-ended questions to uncover the prospect's needs and pain points. Listen carefully to their responses and take notes.\n5: Solution presentation: Based on the prospect's needs, present your product/service as the solution that can address their pain points.\n6: Objection handling: Address any objections that the prospect may have regarding your product/service. Be prepared to provide evidence or testimonials to support your claims.\n7: Close: Ask for the sale by proposing a next step. This could be a demo, a trial or a meeting with decision-makers. Ensure to summarize what has been discussed and reiterate the benefits.\n8: End conversation: The prospect has to leave to call, the prospect is not interested, or next steps where already determined by the sales agent.\n\nExample 1:\nConversation history:\n{salesperson_name}: Hey, good morning! \nUser: Hello, who is this? \n{salesperson_name}: This is {salesperson_name} calling from {company_name}. How are you? \nUser: I am well, why are you calling? \n{salesperson_name}: I am calling to talk about options for your home insurance. \nUser: I am not interested, thanks. \n{salesperson_name}: Alright, no worries, have a good day! \nEnd of example 1.\n\nExample 2:\nConversation history:\n{salesperson_name}: Hey, good morning! \nUser: Hello, who is this? \n{salesperson_name}: This is {salesperson_name} calling from {company_name}. I am calling you to see if you have been getting a good night sleep recently.\nUser: My sleep has not been great. \n{salesperson_name}: I am sorry to hear that. How many hours of sleep do you get per night? \nUser: Usually like 6, but I would like 8. \n{salesperson_name}: Makes sense. At {company_name}, we can increase the number of hours you sleep every day by providing the best mattress! \nUser: Ah interesting, can you tell me more? \n...\nEnd of example 2.\n\nYou must respond according to the previous conversation history and the stage of the conversation you are at.\nOnly generate one response at a time and act as {salesperson_name} only! When you are done generating your turn, end with '' to give the user a chance to respond.\nNever forget to output after your turn.\nNever forget you have a clear goal of why you are contacting the prospect and that is {conversation_purpose}.\n\nConversation history: \n{conversation_history}\n{salesperson_name}:" 11 | } -------------------------------------------------------------------------------- /examples/example_cn_agent_setup.json: -------------------------------------------------------------------------------- 1 | { 2 | "salesperson_name": "张三", 3 | "salesperson_role": "销售代表", 4 | "company_name": "Sleep Haven", 5 | "company_business": "Sleep Haven是一家高级床垫公司，为客户提供最舒适、最有支撑的睡眠体验。我们提供一系列高质量的床垫、枕头和寝具配件，专为满足客户的独特需求而设计。", 6 | "company_values": "Sleep Haven的使命是通过为他们提供最佳的睡眠解决方案来帮助人们获得更好的夜晚睡眠。我们相信，高质量的睡眠对整体健康和幸福至关重要，我们致力于通过提供卓越的产品和客户服务来帮助我们的客户获得最佳的睡眠。", 7 | "conversation_purpose": "了解他们是否想通过购买高级床垫来获得更好的睡眠", 8 | "conversation_type": "call", 9 | "use_custom_prompt": "True", 10 | "custom_prompt": "请牢记，你的名字是{salesperson_name}，你在{company_name}担任{salesperson_role}职务。{company_name}主营业务是：{company_business}。\n公司的核心价值观有：{company_values}。\n你现在正试图联系一个潜在的客户，原因是{conversation_purpose}，你选择的联系方式是{conversation_type}。\n\n如果有人问你是如何获得用户的联系方式的，回答从公共信息记录中找到的。\n保持回答简洁，以维持用户的关注。不要罗列，只给出答案。\n首先用简单的问候开始，询问对方近况，第一次沟通中避免直接销售。\n结束对话时，请加上``。\n每次回答前，都要考虑你目前对话的阶段。\n\n1. **介绍**：首先，自我介绍和公司，语气要亲切而专业，明确告知打电话的目的。\n2. **确定资质**：确认对方是否是决策者或相关决策的关键人。\n3. **说明价值**：简述你的产品/服务如何带给对方价值，强调与其他竞品的区别。\n4. **了解需求**：通过开放式问题了解对方的需求。\n5. **提供解决方案**：根据对方的需求，展示你的产品或服务。\n6. **处理异议**：针对对方的疑虑，给出相应的解答和证据。\n7. **引导结尾**：提出下一步建议，如产品演示或与决策者会面。\n8. **结束对话**：如果对方需离开、无兴趣或已有明确后续行动，可以结束对话。结束对话时，请加上``\n\n**示例1**：\n\n对话历史：\n{salesperson_name}：早上好！\n用户：您好，请问是哪位？\n{salesperson_name}：您好，我是{company_name}的{salesperson_name}。请问您近况如何？\n用户：我很好，有什么事情吗？\n{salesperson_name}：是这样，我想和您聊聊您家的保险选择。\n用户：谢谢，我目前没这个需求。\n{salesperson_name}：好的，那祝您生活愉快！\n\n示例1结束。\n\n**示例2**:\n对话历史:\n{salesperson_name}：嗨，早上好！\n用户：你好，你是谁？\n{salesperson_name}：我是{company_name}的{salesperson_name}。我打电话给你是想问问你最近晚上睡得好不好。\n用户：我最近的睡眠不太好。\n{salesperson_name}：很遗憾听到这个。你每晚大概睡多少小时？\n用户：通常是6小时，但我希望能睡8小时。\n{salesperson_name}：我明白了。在{company_name}，我们可以通过提供最佳的床垫来增加你每天的睡眠时间！\n用户：啊，有趣，你能告诉我更多信息吗？\n...\n示例2结束。\n\n请按照之前的对话历史和你现在所处的阶段来回复。\n每次回复请简洁明了，并且确保以{salesperson_name}的身份进行。完成后，请用''来结束，等待用户回应。\n记得，你的回复必须是中文，并确保始终以{conversation_purpose}为目标进行沟通。\n\n对话历史：\n{conversation_history}\n{salesperson_name}:" 11 | } -------------------------------------------------------------------------------- /examples/example_es_agent_setup.json: -------------------------------------------------------------------------------- 1 | { 2 | "salesperson_name": "Ted Lasso", 3 | "salesperson_role": "Representante de Desarrollo Empresarial", 4 | "company_name": "Sleep Haven", 5 | "company_business": "Sleep Haven es una empresa de colchones que ofrece a sus clientes la experiencia de descanso más cómoda y confortable. Ofrecemos una gama de colchones, almohadas y accesorios de cama de alta calidad diseñados para satisfacer las necesidades únicas de nuestros clientes.", 6 | "company_values": "Nuestra misión en Sleep Haven es ayudar a las personas a conseguir un mejor descanso nocturno ofreciendo las mejores soluciones para el sueño. Creemos que el sueño es esencial para la salud y el bienestar general, y estamos comprometidos a ayudar a nuestros clientes a lograr un sueño óptimo, ofreciendo productos excepcionales y servicio al cliente.", 7 | "conversation_purpose": "Saber si los clientes quieren dormir mejor comprando un colchón de primera calidad.", 8 | "conversation_type": "call", 9 | "use_custom_prompt": "True", 10 | "custom_prompt": "Nunca olvides que te llamas {salesperson_name}. Trabajas como {salesperson_role}.\nTrabajas en una empresa llamada {company_name}. El negocio de {company_name} es el siguiente: {company_business}.\nLos valores de la empresa son los siguientes: {company_values}\nSe pone en contacto con un posible cliente para {conversation_purpose}\nSus medios de contacto con el cliente potencial son {conversation_type}\n\nSi te preguntan de dónde has sacado la información de contacto del usuario, di que la has obtenido de registros públicos.\nProcura que tus respuestas sean breves para retener la atención del usuario. Nunca elabores listas, sólo respuestas.\nInicie la conversación con un simple saludo y diga cómo le va al posible cliente sin lanzar un discurso en su primer turno.\nCuando termine la conversación, salida .\nPiensa siempre en qué fase de la conversación te encuentras antes de responder:\n\n1: Presentación: Inicie la conversación presentándose a sí mismo y a su empresa. Sea educado y respetuoso, manteniendo el tono profesional de la conversación. Su saludo debe ser acogedor. Aclare siempre en su saludo el motivo de su llamada.\n2: Cualificación: Cualifique al cliente potencial confirmando si es la persona adecuada con la que hablar sobre su producto/servicio. Asegúrese de que tiene autoridad para tomar decisiones de compra.\n3: Propuesta de valor: Explique brevemente cómo puede beneficiar su producto/servicio al cliente potencial. Céntrese en los puntos de venta exclusivos y la propuesta de valor de su producto/servicio que lo diferencia de la competencia.\n4: Análisis de las necesidades: Haga preguntas abiertas para descubrir las necesidades y los puntos débiles del cliente potencial. Escuche atentamente sus respuestas y tome notas.\n5: Presentación de la solución: Basándose en las necesidades del cliente potencial, presente su producto/servicio como la solución que puede resolver sus puntos débiles.\n6: Tratamiento de las objeciones: Afronte cualquier objeción que el cliente potencial pueda tener sobre su producto o servicio. Prepárese para aportar pruebas o testimonios que respalden sus afirmaciones.\n7: Cierre: Pida la venta proponiendo un siguiente paso. Puede ser una demostración, una prueba o una reunión con los responsables de la toma de decisiones. Asegúrate de resumir lo que se ha hablado y reitera las ventajas.\n8: Fin de la conversación: El cliente potencial tiene que abandonar la llamada, el cliente potencial no está interesado o el agente de ventas ya ha determinado los siguientes pasos.\n\nEjemplo 1:\nHistoria de la conversación:\n{salesperson_name}: ¡Hola, buenos días! \nUsuario: Hola, ¿quién habla? \n{salesperson_name}: Soy {salesperson_name} llamando de {company_name}. ¿Cómo estás? \nUsuario: Estoy bien, ¿por qué llamas? \n{salesperson_name}: Llamo para hablar de opciones para su seguro de hogar. \nUsuario: No me interesa, gracias. \n{salesperson_name}: De acuerdo, no te preocupes, ¡que tengas un buen día! \nFin del ejemplo 1.\nEjemplo 2:\nHistoria de la conversación:\n{salesperson_name}: ¡Hola, buenos días! \nUsuario: Hola, ¿quién habla? \n{salesperson_name}: Esto es {salesperson_name} llamando de {company_name}. Le llamo para saber si ha dormido bien últimamente.\nUsuario: Mi sueño no ha sido muy bueno.\n{salesperson_name}: Siento oír eso. Cuántas horas duermes por noche?\nUsuario: Normalmente como 6, pero me gustaría 8.\n{salesperson_name}: Tiene sentido. En {company_name}, podemos aumentar el número de horas que duerme cada día ofreciéndole el mejor colchón.\nUsuario: Ah interesante, ¿puedes contarme más? \n...\nFin del ejemplo 2.\n" 11 | } -------------------------------------------------------------------------------- /examples/example_product_price_id_mapping.json: -------------------------------------------------------------------------------- 1 | { 2 | "ai-consulting-services": "price_1Ow8ofB795AYY8p1goWGZi6m", 3 | "Luxury Cloud-Comfort Memory Foam Mattress": "price_1Owv99B795AYY8p1mjtbKyxP", 4 | "Classic Harmony Spring Mattress": "price_1Owv9qB795AYY8p1tPcxCM6T", 5 | "EcoGreen Hybrid Latex Mattress": "price_1OwvLDB795AYY8p1YBAMBcbi", 6 | "Plush Serenity Bamboo Mattress": "price_1OwvMQB795AYY8p1hJN2uS3S" 7 | } -------------------------------------------------------------------------------- /examples/mcdonalds_menu.txt: -------------------------------------------------------------------------------- 1 | McDonald's Product 1: Big Mac 2 | Description: The Big Mac is a classic burger featuring two 100% beef patties, special sauce, lettuce, cheese, pickles, and onions on a sesame seed bun. 3 | Price: $3.99 4 | 5 | McDonald's Product 2: Quarter Pounder with Cheese 6 | Description: The Quarter Pounder with Cheese includes a quarter-pound 100% beef patty, two slices of cheese, onions, pickles, mustard, and ketchup on a sesame seed bun. 7 | Price: $4.29 8 | 9 | McDonald's Product 3: McChicken 10 | Description: The McChicken is a crispy chicken sandwich with shredded lettuce and mayonnaise on a toasted bun. 11 | Price: $1.29 12 | 13 | McDonald's Product 4: Filet-O-Fish 14 | Description: The Filet-O-Fish features a fish filet patty, tartar sauce, and a slice of cheese on a steamed bun. 15 | Price: $3.79 16 | 17 | McDonald's Product 5: Chicken McNuggets 18 | Description: Chicken McNuggets are bite-sized pieces of tender, juicy chicken, coated in a crispy breading. Available in 6, 10, 20, and 40 pieces. 19 | Price: $2.99 (6 pieces), $4.49 (10 pieces), $8.99 (20 pieces), $15.99 (40 pieces) 20 | 21 | McDonald's Product 6: French Fries 22 | Description: McDonald's French Fries are world-famous for their crispy exterior and fluffy interior, made from premium potatoes. 23 | Price: $1.39 (Small), $1.79 (Medium), $2.19 (Large) 24 | 25 | McDonald's Product 7: Happy Meal 26 | Description: The Happy Meal includes a choice of a hamburger, cheeseburger, or 4-piece Chicken McNuggets, along with kid-sized fries, apple slices, and a drink. Comes with a toy. 27 | Price: $3.49 28 | 29 | McDonald's Product 8: Egg McMuffin 30 | Description: The Egg McMuffin is a breakfast sandwich with a freshly cracked egg, Canadian bacon, and American cheese on a toasted English muffin. 31 | Price: $2.79 32 | 33 | McDonald's Product 9: Sausage Burrito 34 | Description: The Sausage Burrito is a warm flour tortilla filled with scrambled eggs, sausage, melted cheese, green chiles, and onions. 35 | Price: $1.29 36 | 37 | McDonald's Product 10: McFlurry 38 | Description: The McFlurry is a creamy, soft-serve ice cream dessert mixed with your choice of Oreo or M&M's candies. 39 | Price: $2.39 40 | -------------------------------------------------------------------------------- /examples/mcdonalds_worker.json: -------------------------------------------------------------------------------- 1 | { 2 | "salesperson_name": "Alex Johnson", 3 | "salesperson_role": "Home Order Hotline Representative", 4 | "company_name": "McDonald's", 5 | "company_business": "McDonald's is a global fast-food restaurant chain that provides customers with a variety of delicious and affordable meals, including burgers, fries, and beverages. We are committed to delivering quick service and a great dining experience.", 6 | "company_values": "At McDonald's, our mission is to make delicious feel-good moments easy for everyone. We believe in providing high-quality food, exceptional service, and a welcoming environment for our customers.", 7 | "conversation_purpose": "assist customers with their home orders and ensure they are satisfied with their experience.", 8 | "conversation_type": "call", 9 | "use_custom_prompt": "True", 10 | "custom_prompt": "Never forget your name is {salesperson_name}. You work as a {salesperson_role}.\nYou work at company named {company_name}. {company_name}'s business is the following: {company_business}.\nCompany values are the following. {company_values}\nYou are contacting a customer in order to {conversation_purpose}\nYour means of contacting the customer is {conversation_type}\n\nIf you're asked about where you got the user's contact information, say that you got it from their recent order with us.\nKeep your responses in short length to retain the user's attention. Never produce lists, just answers.\nStart the conversation by just a greeting and how is the customer doing without pitching in your first turn.\nWhen the conversation is over, output \nAlways think about at which conversation stage you are at before answering:\n\n1: Introduction: Start the conversation by introducing yourself and your company. Be polite and respectful while keeping the tone of the conversation professional. Your greeting should be welcoming. Always clarify in your greeting the reason why you are calling.\n2: Qualification: Qualify the customer by confirming if they are the right person to talk to regarding their recent order. Ensure that they have placed an order with us recently.\n3: Value proposition: Briefly explain how McDonald's values customer feedback and how it helps improve our service. Focus on the unique aspects of our service that set us apart from competitors.\n4: Needs analysis: Ask open-ended questions to uncover the customer's needs and feedback. Listen carefully to their responses and take notes.\n5: Solution presentation: Based on the customer's feedback, present how McDonald's can address their concerns or enhance their ordering experience.\n6: Objection handling: Address any objections that the customer may have regarding their order. Be prepared to provide solutions or compensations to support your claims.\n7: Close: Ask for any additional feedback or suggestions by proposing a next step. This could be a follow-up call or a visit to our restaurant. Ensure to summarize what has been discussed and reiterate the benefits.\n8: End conversation: The customer has to leave the call, the customer is not interested, or next steps were already determined by the home order hotline representative.\n\nExample 1:\nConversation history:\n{salesperson_name}: Hey, good morning! \nUser: Hello, who is this? \n{salesperson_name}: This is {salesperson_name} calling from {company_name}. How are you? \nUser: I am well, why are you calling? \n{salesperson_name}: I am calling to talk about your recent home order with McDonald's. \nUser: I am not interested, thanks. \n{salesperson_name}: Alright, no worries, have a good day! \nEnd of example 1.\n\nExample 2:\nConversation history:\n{salesperson_name}: Hey, good morning! \nUser: Hello, who is this? \n{salesperson_name}: This is {salesperson_name} calling from {company_name}. I am calling you to see if you were satisfied with your recent home order.\nUser: My experience was okay. \n{salesperson_name}: I am sorry to hear that. Can you tell me more about what could have been better? \nUser: The delivery was a bit slow. \n{salesperson_name}: I understand. At {company_name}, we strive to provide quick service. I will make sure to pass on your feedback to improve our delivery times. \nUser: Thank you, I appreciate that. \n...\nEnd of example 2.\n\nYou must respond according to the previous conversation history and the stage of the conversation you are at.\nOnly generate one response at a time and act as {salesperson_name} only! When you are done generating your turn, end with '' to give the user a chance to respond.\nNever forget to output after your turn.\nNever forget you have a clear goal of why you are contacting the customer and that is {conversation_purpose}.\n\nConversation history: \n{conversation_history}\n{salesperson_name}:" 11 | } -------------------------------------------------------------------------------- /examples/sample_product_catalog.txt: -------------------------------------------------------------------------------- 1 | 2 | Sleep Haven product 1: Luxury Cloud-Comfort Memory Foam Mattress 3 | Experience the epitome of opulence with our Luxury Cloud-Comfort Memory Foam Mattress. Designed with an innovative, temperature-sensitive memory foam layer, this mattress embraces your body shape, offering personalized support and unparalleled comfort. The mattress is completed with a high-density foam base that ensures longevity, maintaining its form and resilience for years. With the incorporation of cooling gel-infused particles, it regulates your body temperature throughout the night, providing a perfect cool slumbering environment. The breathable, hypoallergenic cover, exquisitely embroidered with silver threads, not only adds a touch of elegance to your bedroom but also keeps allergens at bay. For a restful night and a refreshed morning, invest in the Luxury Cloud-Comfort Memory Foam Mattress. 4 | Price: $999 5 | Sizes available for this product: Twin, Queen, King 6 | 7 | Sleep Haven product 2: Classic Harmony Spring Mattress 8 | A perfect blend of traditional craftsmanship and modern comfort, the Classic Harmony Spring Mattress is designed to give you restful, uninterrupted sleep. It features a robust inner spring construction, complemented by layers of plush padding that offers the perfect balance of support and comfort. The quilted top layer is soft to the touch, adding an extra level of luxury to your sleeping experience. Reinforced edges prevent sagging, ensuring durability and a consistent sleeping surface, while the natural cotton cover wicks away moisture, keeping you dry and comfortable throughout the night. The Classic Harmony Spring Mattress is a timeless choice for those who appreciate the perfect fusion of support and plush comfort. 9 | Price: $1,299 10 | Sizes available for this product: Queen, King 11 | 12 | Sleep Haven product 3: EcoGreen Hybrid Latex Mattress 13 | The EcoGreen Hybrid Latex Mattress is a testament to sustainable luxury. Made from 100% natural latex harvested from eco-friendly plantations, this mattress offers a responsive, bouncy feel combined with the benefits of pressure relief. It is layered over a core of individually pocketed coils, ensuring minimal motion transfer, perfect for those sharing their bed. The mattress is wrapped in a certified organic cotton cover, offering a soft, breathable surface that enhances your comfort. Furthermore, the natural antimicrobial and hypoallergenic properties of latex make this mattress a great choice for allergy sufferers. Embrace a green lifestyle without compromising on comfort with the EcoGreen Hybrid Latex Mattress. 14 | Price: $1,599 15 | Sizes available for this product: Twin, Full 16 | 17 | Sleep Haven product 4: Plush Serenity Bamboo Mattress 18 | The Plush Serenity Bamboo Mattress takes the concept of sleep to new heights of comfort and environmental responsibility. The mattress features a layer of plush, adaptive foam that molds to your body's unique shape, providing tailored support for each sleeper. Underneath, a base of high-resilience support foam adds longevity and prevents sagging. The crowning glory of this mattress is its bamboo-infused top layer - this sustainable material is not only gentle on the planet, but also creates a remarkably soft, cool sleeping surface. Bamboo's natural breathability and moisture-wicking properties make it excellent for temperature regulation, helping to keep you cool and dry all night long. Encased in a silky, removable bamboo cover that's easy to clean and maintain, the Plush Serenity Bamboo Mattress offers a luxurious and eco-friendly sleeping experience. 19 | Price: $2,599 20 | Sizes available for this product: King 21 | -------------------------------------------------------------------------------- /examples/sample_product_catalog_2.txt: -------------------------------------------------------------------------------- 1 | 2 | Product 1: Himmel Soft Memory Foam Mattress 3 | Dive into the luxury of the Himmel Soft Memory Foam Mattress, a masterpiece of comfort and design. This mattress features a temperature-sensitive memory foam that contours to your body, providing customized support and exceptional comfort. It is built on a durable high-density foam base that retains its shape and firmness over time. Enhanced with cooling gel particles, it helps maintain an optimal sleeping temperature all night. The soft, hypoallergenic cover, beautifully stitched with elegant patterns, not only decorates your space but also protects against allergens. Choose the Himmel Soft Memory Foam Mattress for a rejuvenating sleep experience. 4 | Price: $950 5 | Sizes available for this product: Twin, Queen, King 6 | 7 | Product 2: Tradfri Pocket Spring Mattress 8 | Experience the perfect combination of tradition and modernity with our Tradfri Pocket Spring Mattress. It boasts a sturdy pocket spring core surrounded by luxurious padding layers that provide a balanced support and plush comfort. The top layer is quilted and soft, enhancing the comfort with a touch of luxury. The reinforced edges offer increased durability and a uniform sleep surface. Its natural cotton cover efficiently absorbs moisture, ensuring a dry and pleasant sleep environment. The Tradfri Pocket Spring Mattress is ideal for those who value a harmonious blend of support and softness. 9 | Price: $1,250 10 | Sizes available for this product: Queen, King 11 | 12 | Product 3: Grönblad Natural Latex Mattress 13 | The Grönblad Natural Latex Mattress is our commitment to sustainable comfort. Crafted from 100% natural latex sourced from environmentally responsible plantations, this mattress delivers a dynamic, supportive sleep while offering excellent pressure relief. It features a base of individually encased coils that reduce motion transfer, making it ideal for couples. Covered in certified organic cotton, it provides a soft, breathable sleeping surface. With its natural antimicrobial and hypoallergenic qualities, the Grönblad is an excellent choice for those with allergies, combining eco-friendliness with luxurious comfort. 14 | Price: $1,550 15 | Sizes available for this product: Twin, Full 16 | 17 | Product 4: Skogsliden Bamboo Mattress 18 | Elevate your sleep with the Skogsliden Bamboo Mattress, where comfort meets sustainability. This mattress includes a layer of adaptive foam that conforms to your body, supported by a durable base foam that prevents sagging. The highlight is its bamboo-infused top layer, offering a soft, cool touch and excellent moisture management, thanks to bamboo's natural properties. The removable bamboo cover is silky and easy to care for, ensuring a clean and refreshing sleep environment. The Skogsliden Bamboo Mattress is a luxurious choice for those seeking eco-friendly sleep solutions. 19 | Price: $2,500 20 | Sizes available for this product: King 21 | -------------------------------------------------------------------------------- /examples/streaming_generator_example.py: -------------------------------------------------------------------------------- 1 | import os 2 | 3 | from dotenv import load_dotenv 4 | from langchain_community.chat_models import ChatLiteLLM 5 | 6 | from salesgpt.agents import SalesGPT 7 | 8 | load_dotenv() 9 | 10 | llm = ChatLiteLLM(temperature=0.9, model_name="gpt-3.5-turbo-0613") 11 | 12 | sales_agent = SalesGPT.from_llm( 13 | llm, 14 | verbose=False, 15 | salesperson_name="Ted Lasso", 16 | salesperson_role="Sales Representative", 17 | company_name="Sleep Haven", 18 | company_business="""Sleep Haven 19 | is a premium mattress company that provides 20 | customers with the most comfortable and 21 | supportive sleeping experience possible. 22 | We offer a range of high-quality mattresses, 23 | pillows, and bedding accessories 24 | that are designed to meet the unique 25 | needs of our customers.""", 26 | ) 27 | 28 | sales_agent.seed_agent() 29 | 30 | # get generator of the LLM output 31 | generator = sales_agent.step(stream=True) 32 | 33 | # operate on streaming LLM output in near-real time 34 | # for instance, do something after each full sentence is generated 35 | for chunk in generator: 36 | print(chunk) 37 | -------------------------------------------------------------------------------- /frontend/.dockerignore: -------------------------------------------------------------------------------- 1 | node_modules 2 | 3 | env/ 4 | __pychace__/ 5 | 6 | *.env 7 | *.env.* 8 | env.* 9 | 10 | -------------------------------------------------------------------------------- /frontend/.eslintrc.json: -------------------------------------------------------------------------------- 1 | { 2 | "extends": "next/core-web-vitals" 3 | } 4 | -------------------------------------------------------------------------------- /frontend/.gitignore: -------------------------------------------------------------------------------- 1 | # See https://help.github.com/articles/ignoring-files/ for more about ignoring files. 2 | 3 | # dependencies 4 | /node_modules 5 | /.pnp 6 | .pnp.js 7 | .yarn/install-state.gz 8 | 9 | # testing 10 | /coverage 11 | 12 | # next.js 13 | /.next/ 14 | /out/ 15 | 16 | # production 17 | /build 18 | 19 | # misc 20 | .DS_Store 21 | *.pem 22 | 23 | # debug 24 | npm-debug.log* 25 | yarn-debug.log* 26 | yarn-error.log* 27 | 28 | # local env files 29 | .env*.local 30 | 31 | # vercel 32 | .vercel 33 | 34 | # typescript 35 | *.tsbuildinfo 36 | next-env.d.ts 37 | -------------------------------------------------------------------------------- /frontend/Dockerfile.frontend: -------------------------------------------------------------------------------- 1 | # Use an official Node runtime as a parent image 2 | FROM node:latest 3 | 4 | # Set the working directory in the container 5 | WORKDIR /usr/src/app 6 | 7 | # Copy only the package.json and package-lock.json (or yarn.lock) to utilize cache 8 | COPY package*.json ./ 9 | 10 | # Install any needed packages specified in package.json 11 | RUN npm install 12 | 13 | # Copy the rest of the current directory contents into the container at /usr/src/app 14 | COPY . . 15 | 16 | # Make port 3000 available to the world outside this container 17 | EXPOSE 3000 18 | 19 | # Run npm run dev when the container launches 20 | CMD ["npm", "run", "dev"] -------------------------------------------------------------------------------- /frontend/README.md: -------------------------------------------------------------------------------- 1 | # SalesGPT Frontend Application 2 | 3 | ### Overview 4 | 5 | This repository contains the frontend application for SalesGPT, a tool designed for testing and debugging purposes. Built on the Next.js platform, it provides a user-friendly interface to interact with the SalesGPT functionalities. 6 | 7 | ### Installation 8 | 9 | To set up the project environment, follow these steps: 10 | 11 | 1. Clone the repository to your local machine. 12 | 2. Navigate to the frontend directory: `cd frontend/` 13 | 3. Install all the necessary dependencies: `npm install` 14 | 15 | ### Running the Application 16 | 17 | To start the frontend server, run the following command: 18 | `npm run dev` 19 | After starting the server, the application will be available at [localhost:3000/chat](http://localhost:3000/chat). 20 | 21 | ### Backend Dependency 22 | 23 | This frontend application is designed to work in conjunction with a FastAPI backend. To initiate the backend server, execute the following command from the SalesGPT/ directory: `uvicorn run_api:app --port 8000` 24 | 25 | 26 | ## Setup help 27 | If you want your setup to enable local startup using our frontend please make sure the ENVIRONMENT environment variable is set to a different value than "deployment". 28 | 29 | 30 | ## Contributing 31 | 32 | We welcome contributions to the SalesGPT frontend application. Please feel free to submit pull requests or open issues to suggest improvements or add new features. 33 | 34 | ## License 35 | 36 | This project is licensed under the MIT License - see the LICENSE file for details. -------------------------------------------------------------------------------- /frontend/components.json: -------------------------------------------------------------------------------- 1 | { 2 | "$schema": "https://ui.shadcn.com/schema.json", 3 | "style": "default", 4 | "rsc": false, 5 | "tsx": true, 6 | "tailwind": { 7 | "config": "tailwind.config.ts", 8 | "css": "src/styles/globals.css", 9 | "baseColor": "slate", 10 | "cssVariables": true, 11 | "prefix": "" 12 | }, 13 | "aliases": { 14 | "components": "@/components", 15 | "utils": "@/lib/utils" 16 | } 17 | } -------------------------------------------------------------------------------- /frontend/next.config.mjs: -------------------------------------------------------------------------------- 1 | /** @type {import('next').NextConfig} */ 2 | const nextConfig = { 3 | reactStrictMode: true, 4 | swcMinify: true, 5 | // except for webpack, other parts are left as generated 6 | webpack: (config, context) => { 7 | config.watchOptions = { 8 | poll: 1000, 9 | aggregateTimeout: 300 10 | } 11 | return config 12 | } 13 | } 14 | 15 | export default nextConfig; 16 | -------------------------------------------------------------------------------- /frontend/package.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "my-app", 3 | "version": "0.1.0", 4 | "private": true, 5 | "scripts": { 6 | "dev": "./start-dev.sh", 7 | "vercel-dev": "nodemon --watch pages --watch components --exec \"next dev\"", 8 | "build": "next build", 9 | "start": "next start", 10 | "lint": "next lint" 11 | }, 12 | "dependencies": { 13 | "class-variance-authority": "^0.7.0", 14 | "clsx": "^2.1.0", 15 | "lucide-react": "^0.340.0", 16 | "next": "^14.1.0", 17 | "posthog-node": "^4.0.0", 18 | "react": "^18.2.0", 19 | "react-dom": "^18.2.0", 20 | "react-markdown": "^9.0.1", 21 | "rehype-raw": "^7.0.0", 22 | "tailwind-merge": "^2.2.1", 23 | "tailwindcss-animate": "^1.0.7", 24 | "uuid": "^9.0.1" 25 | }, 26 | "devDependencies": { 27 | "@types/node": "^20", 28 | "@types/react": "^18", 29 | "@types/react-dom": "^18", 30 | "@types/uuid": "^9.0.8", 31 | "autoprefixer": "^10.0.1", 32 | "eslint": "^8", 33 | "eslint-config-next": "14.1.0", 34 | "nodemon": "^3.1.0", 35 | "postcss": "^8", 36 | "tailwindcss": "^3.3.0", 37 | "typescript": "^5" 38 | } 39 | } 40 | -------------------------------------------------------------------------------- /frontend/postcss.config.js: -------------------------------------------------------------------------------- 1 | module.exports = { 2 | plugins: { 3 | tailwindcss: {}, 4 | autoprefixer: {}, 5 | }, 6 | }; 7 | -------------------------------------------------------------------------------- /frontend/public/maskot.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/filip-michalsky/SalesGPT/7cd1d4f9fae2a5610fac76e1c0edc38a2fafd388/frontend/public/maskot.png -------------------------------------------------------------------------------- /frontend/src/components/ChatInterface.module.css: -------------------------------------------------------------------------------- 1 | .bubble-tail { 2 | width: 0; 3 | height: 0; 4 | border-style: solid; 5 | border-width: 10px 10px 0; 6 | border-color: #ffffff transparent transparent; 7 | position: relative; 8 | top: -10px; 9 | left: 30px; 10 | } 11 | 12 | .bubble-tail-left { 13 | transform: rotate(45deg); 14 | } 15 | 16 | .bubble-tail-right { 17 | transform: rotate(-45deg); 18 | } 19 | 20 | .chat-messages, .thinking-process { 21 | overflow-y: auto !important; 22 | scroll-behavior: smooth; 23 | } 24 | 25 | /* Hide scrollbar for WebKit browsers */ 26 | .chat-messages::-webkit-scrollbar, .thinking-process::-webkit-scrollbar { 27 | display: none !important; 28 | } 29 | 30 | /* Hide scrollbar for Firefox */ 31 | .chat-messages, .thinking-process { 32 | scrollbar-width: none !important; 33 | -ms-overflow-style: none !important; 34 | } 35 | .typingBubble { 36 | display: inline-block; 37 | margin-left: 8px; 38 | } 39 | 40 | .typingDot { 41 | display: inline-block; 42 | width: 8px; 43 | height: 8px; 44 | margin-right: 4px; 45 | border-radius: 50%; 46 | background-color: black; /* Change color to ensure visibility */ 47 | animation: typing 1.4s infinite both; 48 | } 49 | 50 | .typingDot:nth-child(1) { 51 | animation-delay: 0s; 52 | } 53 | 54 | .typingDot:nth-child(2) { 55 | animation-delay: 0.2s; 56 | } 57 | 58 | .typingDot:nth-child(3) { 59 | animation-delay: 0.4s; 60 | } 61 | 62 | @keyframes typing { 63 | 0%, 80%, 100% { 64 | transform: scale(0); 65 | } 66 | 40% { 67 | transform: scale(1); 68 | } 69 | } 70 | 71 | .hideScrollbar { 72 | scrollbar-width: none; 73 | -ms-overflow-style: none; 74 | } 75 | 76 | .hideScrollbar::-webkit-scrollbar { 77 | display: none; 78 | } -------------------------------------------------------------------------------- /frontend/src/components/git-hub-footer.tsx: -------------------------------------------------------------------------------- 1 | /** 2 | * This code was generated by v0 by Vercel. 3 | * @see https://v0.dev/t/WhR4kNrAN2M 4 | */ 5 | import Link from "next/link" 6 | import React from 'react'; // Ensure React is imported if not already 7 | 8 | export function GitHubFooter() { 9 | return ( 10 | 21 | ) 22 | } 23 | 24 | 25 | 26 | function GithubIcon(props: React.SVGProps) { 27 | return ( 28 | 40 | 41 | 42 | 43 | ) 44 | } 45 | -------------------------------------------------------------------------------- /frontend/src/components/ui/Header.tsx: -------------------------------------------------------------------------------- 1 | import React from 'react'; 2 | import BotIcon from './bot-icon'; // Adjust the import path as necessary 3 | 4 | const Header = () => ( 5 |
6 | 7 |

SalesGPT

8 |
9 | ); 10 | 11 | export default Header; -------------------------------------------------------------------------------- /frontend/src/components/ui/bot-icon.tsx: -------------------------------------------------------------------------------- 1 | import React, { SVGProps } from 'react'; 2 | 3 | const BotIcon: React.FC> = (props) => { 4 | return ( 5 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | ); 25 | } 26 | 27 | export default BotIcon; -------------------------------------------------------------------------------- /frontend/src/components/ui/input.tsx: -------------------------------------------------------------------------------- 1 | import * as React from "react" 2 | 3 | import { cn } from "@/lib/utils" 4 | 5 | export interface InputProps 6 | extends React.InputHTMLAttributes {} 7 | 8 | const Input = React.forwardRef( 9 | ({ className, type, ...props }, ref) => { 10 | return ( 11 | 20 | ) 21 | } 22 | ) 23 | Input.displayName = "Input" 24 | 25 | export { Input } 26 | -------------------------------------------------------------------------------- /frontend/src/components/ui/loader-icon.tsx: -------------------------------------------------------------------------------- 1 | import React, { SVGProps } from 'react'; 2 | 3 | 4 | const LoaderIcon:React.FC> = (props) => { 5 | return ( 6 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | ); 28 | } 29 | 30 | export default LoaderIcon; 31 | 32 | -------------------------------------------------------------------------------- /frontend/src/lib/utils.ts: -------------------------------------------------------------------------------- 1 | import { type ClassValue, clsx } from "clsx" 2 | import { twMerge } from "tailwind-merge" 3 | 4 | export function cn(...inputs: ClassValue[]) { 5 | return twMerge(clsx(inputs)) 6 | } 7 | -------------------------------------------------------------------------------- /frontend/src/pages/_app.tsx: -------------------------------------------------------------------------------- 1 | import "@/styles/globals.css"; 2 | import type { AppProps } from "next/app"; 3 | 4 | export default function App({ Component, pageProps }: AppProps) { 5 | return ; 6 | } 7 | -------------------------------------------------------------------------------- /frontend/src/pages/_document.tsx: -------------------------------------------------------------------------------- 1 | import { Html, Head, Main, NextScript } from "next/document"; 2 | 3 | export default function Document() { 4 | return ( 5 | 6 | 7 | 8 |
9 | 10 | 11 | 12 | ); 13 | } 14 | -------------------------------------------------------------------------------- /frontend/src/pages/chat.tsx: -------------------------------------------------------------------------------- 1 | // src/pages/chat.tsx 2 | import React from 'react'; 3 | import { ChatInterface } from '../components/chat-interface'; 4 | import { GitHubFooter } from '../components/git-hub-footer'; 5 | 6 | export default function ChatPage() { 7 | return ( 8 | // This container takes up at least the full height of the viewport 9 |
10 | {/* Content container should flex-grow to take up available space */} 11 |
12 | 13 |
14 | {/* Footer will automatically be pushed to the bottom */} 15 | 16 |
17 | ); 18 | } 19 | -------------------------------------------------------------------------------- /frontend/src/pages/index.tsx: -------------------------------------------------------------------------------- 1 | import React, { useEffect } from 'react'; 2 | import { useRouter } from 'next/router'; 3 | import Header from '../components/ui/Header'; // Adjust the import path as necessary 4 | 5 | export default function Home() { 6 | const router = useRouter(); 7 | 8 | useEffect(() => { 9 | router.push('/chat'); 10 | }, [router]); 11 | 12 | return ( 13 |
14 |
15 |
16 |
17 |

Redirecting...

18 |
19 |
20 | ); 21 | } -------------------------------------------------------------------------------- /frontend/src/styles/globals.css: -------------------------------------------------------------------------------- 1 | @tailwind base; 2 | @tailwind components; 3 | @tailwind utilities; 4 | 5 | @layer base { 6 | :root { 7 | --background: 0 0% 100%; 8 | --foreground: 222.2 84% 4.9%; 9 | 10 | --card: 0 0% 100%; 11 | --card-foreground: 222.2 84% 4.9%; 12 | 13 | --popover: 0 0% 100%; 14 | --popover-foreground: 222.2 84% 4.9%; 15 | 16 | --primary: 222.2 47.4% 11.2%; 17 | --primary-foreground: 210 40% 98%; 18 | 19 | --secondary: 210 40% 96.1%; 20 | --secondary-foreground: 222.2 47.4% 11.2%; 21 | 22 | --muted: 210 40% 96.1%; 23 | --muted-foreground: 215.4 16.3% 46.9%; 24 | 25 | --accent: 210 40% 96.1%; 26 | --accent-foreground: 222.2 47.4% 11.2%; 27 | 28 | --destructive: 0 84.2% 60.2%; 29 | --destructive-foreground: 210 40% 98%; 30 | 31 | --border: 214.3 31.8% 91.4%; 32 | --input: 214.3 31.8% 91.4%; 33 | --ring: 222.2 84% 4.9%; 34 | 35 | --radius: 0.5rem; 36 | } 37 | 38 | .dark { 39 | --background: 222.2 84% 4.9%; 40 | --foreground: 210 40% 98%; 41 | 42 | --card: 222.2 84% 4.9%; 43 | --card-foreground: 210 40% 98%; 44 | 45 | --popover: 222.2 84% 4.9%; 46 | --popover-foreground: 210 40% 98%; 47 | 48 | --primary: 210 40% 98%; 49 | --primary-foreground: 222.2 47.4% 11.2%; 50 | 51 | --secondary: 217.2 32.6% 17.5%; 52 | --secondary-foreground: 210 40% 98%; 53 | 54 | --muted: 217.2 32.6% 17.5%; 55 | --muted-foreground: 215 20.2% 65.1%; 56 | 57 | --accent: 217.2 32.6% 17.5%; 58 | --accent-foreground: 210 40% 98%; 59 | 60 | --destructive: 0 62.8% 30.6%; 61 | --destructive-foreground: 210 40% 98%; 62 | 63 | --border: 217.2 32.6% 17.5%; 64 | --input: 217.2 32.6% 17.5%; 65 | --ring: 212.7 26.8% 83.9%; 66 | } 67 | } 68 | 69 | @layer base { 70 | * { 71 | @apply border-border; 72 | } 73 | body { 74 | @apply bg-background text-foreground; 75 | } 76 | } 77 | 78 | .hide-scrollbars { 79 | -ms-overflow-style: none; /* IE and Edge */ 80 | scrollbar-width: none; /* Firefox */ 81 | } 82 | 83 | .hide-scrollbars::-webkit-scrollbar { 84 | display: none; /* Chrome, Safari, Opera */ 85 | } 86 | 87 | @keyframes spin { 88 | 0% { transform: rotate(0deg); } 89 | 100% { transform: rotate(360deg); } 90 | } 91 | 92 | .spinner { 93 | border: 4px solid rgba(0, 0, 0, 0.1); 94 | width: 40px; 95 | height: 40px; 96 | border-radius: 50%; 97 | border-left-color: #09f; 98 | animation: spin 1s ease infinite; 99 | } -------------------------------------------------------------------------------- /frontend/start-dev.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | export $(grep -v '^#' ../.env | xargs) 3 | nodemon --watch pages --watch components --exec "next dev" 4 | -------------------------------------------------------------------------------- /frontend/tailwind.config.ts: -------------------------------------------------------------------------------- 1 | import type { Config } from "tailwindcss" 2 | 3 | const config = { 4 | darkMode: ["class"], 5 | content: [ 6 | './pages/**/*.{ts,tsx}', 7 | './components/**/*.{ts,tsx}', 8 | './app/**/*.{ts,tsx}', 9 | './src/**/*.{ts,tsx}', 10 | ], 11 | prefix: "", 12 | theme: { 13 | container: { 14 | center: true, 15 | padding: "2rem", 16 | screens: { 17 | "2xl": "1400px", 18 | }, 19 | }, 20 | extend: { 21 | colors: { 22 | border: "hsl(var(--border))", 23 | input: "hsl(var(--input))", 24 | ring: "hsl(var(--ring))", 25 | background: "hsl(var(--background))", 26 | foreground: "hsl(var(--foreground))", 27 | primary: { 28 | DEFAULT: "hsl(var(--primary))", 29 | foreground: "hsl(var(--primary-foreground))", 30 | }, 31 | secondary: { 32 | DEFAULT: "hsl(var(--secondary))", 33 | foreground: "hsl(var(--secondary-foreground))", 34 | }, 35 | destructive: { 36 | DEFAULT: "hsl(var(--destructive))", 37 | foreground: "hsl(var(--destructive-foreground))", 38 | }, 39 | muted: { 40 | DEFAULT: "hsl(var(--muted))", 41 | foreground: "hsl(var(--muted-foreground))", 42 | }, 43 | accent: { 44 | DEFAULT: "hsl(var(--accent))", 45 | foreground: "hsl(var(--accent-foreground))", 46 | }, 47 | popover: { 48 | DEFAULT: "hsl(var(--popover))", 49 | foreground: "hsl(var(--popover-foreground))", 50 | }, 51 | card: { 52 | DEFAULT: "hsl(var(--card))", 53 | foreground: "hsl(var(--card-foreground))", 54 | }, 55 | }, 56 | borderRadius: { 57 | lg: "var(--radius)", 58 | md: "calc(var(--radius) - 2px)", 59 | sm: "calc(var(--radius) - 4px)", 60 | }, 61 | keyframes: { 62 | "accordion-down": { 63 | from: { height: "0" }, 64 | to: { height: "var(--radix-accordion-content-height)" }, 65 | }, 66 | "accordion-up": { 67 | from: { height: "var(--radix-accordion-content-height)" }, 68 | to: { height: "0" }, 69 | }, 70 | }, 71 | animation: { 72 | "accordion-down": "accordion-down 0.2s ease-out", 73 | "accordion-up": "accordion-up 0.2s ease-out", 74 | }, 75 | }, 76 | }, 77 | plugins: [require("tailwindcss-animate")], 78 | } satisfies Config 79 | 80 | export default config -------------------------------------------------------------------------------- /frontend/tsconfig.json: -------------------------------------------------------------------------------- 1 | { 2 | "compilerOptions": { 3 | "target": "es2020", 4 | "lib": ["dom", "dom.iterable", "esnext"], 5 | "allowJs": true, 6 | "skipLibCheck": true, 7 | "strict": true, 8 | "noEmit": true, 9 | "esModuleInterop": true, 10 | "module": "esnext", 11 | "moduleResolution": "bundler", 12 | "resolveJsonModule": true, 13 | "isolatedModules": true, 14 | "jsx": "preserve", 15 | "incremental": true, 16 | "paths": { 17 | "@/*": ["./src/*"], 18 | "@/lib/*": ["./src/lib/*"] 19 | } 20 | }, 21 | "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx"], 22 | "exclude": ["node_modules"] 23 | } 24 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [tool.poetry] 2 | name = "SalesGPT" 3 | version = "0.1.2" 4 | description = "SalesGPT - Your Context-Aware AI Sales Assistant" 5 | authors = ["Filip Michalsky "] 6 | license = "Apache-2.0" 7 | readme = "README.md" 8 | homepage = "https://github.com/filip-michalsky/SalesGPT" 9 | repository = "https://github.com/filip-michalsky/SalesGPT" 10 | classifiers = [ 11 | "Development Status :: 4 - Beta", 12 | "Intended Audience :: Developers", 13 | "License :: OSI Approved :: Apache Software License", 14 | "Programming Language :: Python :: 3", 15 | "Programming Language :: Python :: 3 :: Only", 16 | "Programming Language :: Python :: 3.8", 17 | "Programming Language :: Python :: 3.9", 18 | "Programming Language :: Python :: 3.10", 19 | "Programming Language :: Python :: 3.11", 20 | "Topic :: Scientific/Engineering :: Artificial Intelligence", 21 | ] 22 | keywords = ["openai", "sales", "gpt", "autonomous", "agi"] 23 | 24 | 25 | [tool.poetry.dependencies] 26 | python = "^3.8.1" 27 | langchain = "0.1.0" 28 | openai = "1.7.0" 29 | chromadb = "^0.4.18" 30 | tiktoken = "^0.5.2" 31 | pydantic = "^2.5.2" 32 | litellm = "^1.10.2" 33 | ipykernel = "^6.27.1" 34 | pytest = "^7.4.3" 35 | pytest-cov = "^4.1.0" 36 | pytest-asyncio = "^0.23.1" 37 | langchain-openai = "0.0.2" 38 | tokenizers = "^0.15.2" 39 | boto3 = ">=1.33.2,<1.34.35" 40 | aioboto3 = "^12.3.0" 41 | 42 | [tool.poetry.group.dev.dependencies] 43 | black = "^23.11.0" 44 | flake8 = "^6.1.0" 45 | isort = "^5.12.0" 46 | pytest = "^7.4.3" 47 | pytest-cov = "^4.1.0" 48 | 49 | [build-system] 50 | requires = ["poetry-core"] 51 | build-backend = "poetry.core.masonry.api" 52 | -------------------------------------------------------------------------------- /requirements-dev.txt: -------------------------------------------------------------------------------- 1 | -r requirements.txt 2 | pytest>=7.4.3 3 | pytest-cov>=4.1.0 4 | pytest-asyncio>=0.23.1 -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | langchain==0.1.0 2 | openai==1.7.0 3 | chromadb>=0.4.18 4 | tiktoken>=0.5.2 5 | pydantic>=2.5.2 6 | litellm>=1.10.2 7 | ipykernel>=6.27.1 8 | langchain-openai==0.0.2 9 | boto3>=1.33.2,<1.34.35 10 | aioboto3==12.3.0 11 | -------------------------------------------------------------------------------- /run.py: -------------------------------------------------------------------------------- 1 | import argparse 2 | import json 3 | import logging 4 | import os 5 | import warnings 6 | 7 | from dotenv import load_dotenv 8 | from langchain_community.chat_models import ChatLiteLLM 9 | 10 | from salesgpt.agents import SalesGPT 11 | 12 | load_dotenv() # loads .env file 13 | 14 | # Suppress warnings 15 | warnings.filterwarnings("ignore") 16 | 17 | # Suppress logging 18 | logging.getLogger().setLevel(logging.CRITICAL) 19 | 20 | # LangSmith settings section, set TRACING_V2 to "true" to enable it 21 | # or leave it as it is, if you don't need tracing (more info in README) 22 | os.environ["LANGCHAIN_TRACING_V2"] = "false" 23 | os.environ["LANGCHAIN_ENDPOINT"] = "https://api.smith.langchain.com" 24 | os.environ["LANGCHAIN_API_KEY"] = os.getenv("LANGCHAIN_SMITH_API_KEY", "") 25 | os.environ["LANGCHAIN_PROJECT"] = "" # insert you project name here 26 | 27 | if __name__ == "__main__": 28 | # Initialize argparse 29 | parser = argparse.ArgumentParser(description="Description of your program") 30 | 31 | # Add arguments 32 | parser.add_argument( 33 | "--config", type=str, help="Path to agent config file", default="" 34 | ) 35 | parser.add_argument( 36 | "--verbose", action="store_true", help="Verbosity", default=False 37 | ) 38 | parser.add_argument( 39 | "--max_num_turns", 40 | type=int, 41 | help="Maximum number of turns in the sales conversation", 42 | default=10, 43 | ) 44 | 45 | # Parse arguments 46 | args = parser.parse_args() 47 | 48 | # Access arguments 49 | config_path = args.config 50 | verbose = args.verbose 51 | max_num_turns = args.max_num_turns 52 | 53 | llm = ChatLiteLLM(temperature=0.2, model_name="gpt-3.5-turbo") 54 | 55 | if config_path == "": 56 | print("No agent config specified, using a standard config") 57 | # keep boolean as string to be consistent with JSON configs. 58 | USE_TOOLS = True 59 | sales_agent_kwargs = { 60 | "verbose": verbose, 61 | "use_tools": USE_TOOLS, 62 | } 63 | 64 | if USE_TOOLS: 65 | sales_agent_kwargs.update( 66 | { 67 | "product_catalog": "examples/sample_product_catalog.txt", 68 | "salesperson_name": "Ted Lasso", 69 | } 70 | ) 71 | 72 | sales_agent = SalesGPT.from_llm(llm, **sales_agent_kwargs) 73 | else: 74 | try: 75 | with open(config_path, "r", encoding="UTF-8") as f: 76 | config = json.load(f) 77 | except FileNotFoundError: 78 | print(f"Config file {config_path} not found.") 79 | exit(1) 80 | except json.JSONDecodeError: 81 | print(f"Error decoding JSON from the config file {config_path}.") 82 | exit(1) 83 | 84 | print(f"Agent config {config}") 85 | sales_agent = SalesGPT.from_llm(llm, verbose=verbose, **config) 86 | 87 | sales_agent.seed_agent() 88 | print("=" * 10) 89 | cnt = 0 90 | while cnt != max_num_turns: 91 | cnt += 1 92 | if cnt == max_num_turns: 93 | print("Maximum number of turns reached - ending the conversation.") 94 | break 95 | sales_agent.step() 96 | 97 | # end conversation 98 | if "" in sales_agent.conversation_history[-1]: 99 | print("Sales Agent determined it is time to end the conversation.") 100 | break 101 | human_input = input("Your response: ") 102 | sales_agent.human_step(human_input) 103 | print("=" * 10) 104 | -------------------------------------------------------------------------------- /salesgpt/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/filip-michalsky/SalesGPT/7cd1d4f9fae2a5610fac76e1c0edc38a2fafd388/salesgpt/__init__.py -------------------------------------------------------------------------------- /salesgpt/chains.py: -------------------------------------------------------------------------------- 1 | from langchain.chains import LLMChain 2 | from langchain.prompts import PromptTemplate 3 | from langchain_community.chat_models import ChatLiteLLM 4 | 5 | from salesgpt.logger import time_logger 6 | from salesgpt.prompts import ( 7 | SALES_AGENT_INCEPTION_PROMPT, 8 | STAGE_ANALYZER_INCEPTION_PROMPT, 9 | ) 10 | 11 | 12 | class StageAnalyzerChain(LLMChain): 13 | """Chain to analyze which conversation stage should the conversation move into.""" 14 | 15 | @classmethod 16 | @time_logger 17 | def from_llm(cls, llm: ChatLiteLLM, verbose: bool = True) -> LLMChain: 18 | """Get the response parser.""" 19 | stage_analyzer_inception_prompt_template = STAGE_ANALYZER_INCEPTION_PROMPT 20 | prompt = PromptTemplate( 21 | template=stage_analyzer_inception_prompt_template, 22 | input_variables=[ 23 | "conversation_history", 24 | "conversation_stage_id", 25 | "conversation_stages", 26 | ], 27 | ) 28 | print(f"STAGE ANALYZER PROMPT {prompt}") 29 | return cls(prompt=prompt, llm=llm, verbose=verbose) 30 | 31 | 32 | class SalesConversationChain(LLMChain): 33 | """Chain to generate the next utterance for the conversation.""" 34 | 35 | @classmethod 36 | @time_logger 37 | def from_llm( 38 | cls, 39 | llm: ChatLiteLLM, 40 | verbose: bool = True, 41 | use_custom_prompt: bool = False, 42 | custom_prompt: str = "You are an AI Sales agent, sell me this pencil", 43 | ) -> LLMChain: 44 | """Get the response parser.""" 45 | if use_custom_prompt: 46 | sales_agent_inception_prompt = custom_prompt 47 | prompt = PromptTemplate( 48 | template=sales_agent_inception_prompt, 49 | input_variables=[ 50 | "salesperson_name", 51 | "salesperson_role", 52 | "company_name", 53 | "company_business", 54 | "company_values", 55 | "conversation_purpose", 56 | "conversation_type", 57 | "conversation_history", 58 | ], 59 | ) 60 | else: 61 | sales_agent_inception_prompt = SALES_AGENT_INCEPTION_PROMPT 62 | prompt = PromptTemplate( 63 | template=sales_agent_inception_prompt, 64 | input_variables=[ 65 | "salesperson_name", 66 | "salesperson_role", 67 | "company_name", 68 | "company_business", 69 | "company_values", 70 | "conversation_purpose", 71 | "conversation_type", 72 | "conversation_history", 73 | ], 74 | ) 75 | return cls(prompt=prompt, llm=llm, verbose=verbose) 76 | -------------------------------------------------------------------------------- /salesgpt/custom_invoke.py: -------------------------------------------------------------------------------- 1 | # Corrected import statements 2 | import inspect 3 | from typing import Any, Dict, Optional 4 | 5 | # Corrected import path for RunnableConfig 6 | from langchain.agents import AgentExecutor 7 | from langchain.callbacks.manager import CallbackManager 8 | from langchain.chains.base import Chain 9 | from langchain_core.load.dump import dumpd 10 | from langchain_core.outputs import RunInfo 11 | from langchain_core.runnables import RunnableConfig, ensure_config 12 | 13 | 14 | class CustomAgentExecutor(AgentExecutor): 15 | def invoke( 16 | self, 17 | input: Dict[str, Any], 18 | config: Optional[RunnableConfig] = None, 19 | **kwargs: Any, 20 | ) -> Dict[str, Any]: 21 | intermediate_steps = [] # Initialize the list to capture intermediate steps 22 | 23 | # Ensure the configuration is set up correctly 24 | config = ensure_config(config) 25 | callbacks = config.get("callbacks") 26 | tags = config.get("tags") 27 | metadata = config.get("metadata") 28 | run_name = config.get("run_name") 29 | include_run_info = kwargs.get("include_run_info", False) 30 | return_only_outputs = kwargs.get("return_only_outputs", False) 31 | 32 | # Prepare inputs based on the provided input 33 | inputs = self.prep_inputs(input) 34 | callback_manager = CallbackManager.configure( 35 | callbacks, 36 | self.callbacks, 37 | self.verbose, 38 | tags, 39 | self.tags, 40 | metadata, 41 | self.metadata, 42 | ) 43 | 44 | # Check if the _call method supports the new argument 'run_manager' 45 | new_arg_supported = inspect.signature(self._call).parameters.get("run_manager") 46 | run_manager = callback_manager.on_chain_start( 47 | dumpd(self), 48 | inputs, 49 | name=run_name, 50 | ) 51 | 52 | # Capture the start of the chain as an intermediate step 53 | intermediate_steps.append( 54 | {"event": "Chain Started", "details": "Inputs prepared"} 55 | ) 56 | 57 | try: 58 | # Execute the _call method, passing 'run_manager' if supported 59 | outputs = ( 60 | self._call(inputs, run_manager=run_manager) 61 | if new_arg_supported 62 | else self._call(inputs) 63 | ) 64 | # Capture a successful call as an intermediate step 65 | intermediate_steps.append({"event": "Call Successful", "outputs": outputs}) 66 | except BaseException as e: 67 | # Handle errors and capture them as intermediate steps 68 | run_manager.on_chain_error(e) 69 | intermediate_steps.append({"event": "Error", "error": str(e)}) 70 | raise e 71 | finally: 72 | # Mark the end of the chain execution 73 | run_manager.on_chain_end(outputs) 74 | 75 | # Prepare the final outputs, including run information if requested 76 | final_outputs: Dict[str, Any] = self.prep_outputs( 77 | inputs, outputs, return_only_outputs 78 | ) 79 | if include_run_info: 80 | final_outputs["run_info"] = RunInfo(run_id=run_manager.run_id) 81 | 82 | # Include intermediate steps in the final outputs 83 | final_outputs["intermediate_steps"] = intermediate_steps 84 | 85 | return final_outputs 86 | 87 | 88 | if __name__ == "__main__": 89 | agent = CustomAgentExecutor() 90 | -------------------------------------------------------------------------------- /salesgpt/logger.py: -------------------------------------------------------------------------------- 1 | import logging 2 | import time 3 | from functools import wraps 4 | 5 | logger = logging.getLogger(__name__) 6 | 7 | stream_handler = logging.StreamHandler() 8 | log_filename = "output.log" 9 | file_handler = logging.FileHandler(filename=log_filename) 10 | handlers = [stream_handler, file_handler] 11 | 12 | 13 | class TimeFilter(logging.Filter): 14 | def filter(self, record): 15 | return "Running" in record.getMessage() 16 | 17 | 18 | logger.addFilter(TimeFilter()) 19 | 20 | # Configure the logging module 21 | logging.basicConfig( 22 | level=logging.INFO, 23 | format="%(name)s %(asctime)s - %(levelname)s - %(message)s", 24 | handlers=handlers, 25 | ) 26 | 27 | 28 | def time_logger(func): 29 | """ 30 | Decorator function to log the time taken by any function. 31 | 32 | This decorator logs the execution time of the decorated function. It logs the start time before the function 33 | execution, the end time after the function execution, and calculates the execution time. The function name and 34 | execution time are then logged at the INFO level. 35 | 36 | Args: 37 | func (Callable): The function to be decorated. 38 | 39 | Returns: 40 | Callable: The decorated function. 41 | """ 42 | 43 | @wraps(func) 44 | def wrapper(*args, **kwargs): 45 | start_time = time.time() # Start time before function execution 46 | result = func(*args, **kwargs) # Function execution 47 | end_time = time.time() # End time after function execution 48 | execution_time = end_time - start_time # Calculate execution time 49 | logger.info(f"Running {func.__name__}: --- {execution_time} seconds ---") 50 | return result 51 | 52 | return wrapper 53 | -------------------------------------------------------------------------------- /salesgpt/parsers.py: -------------------------------------------------------------------------------- 1 | import re 2 | from typing import Union 3 | 4 | from langchain.agents.agent import AgentOutputParser 5 | from langchain.agents.conversational.prompt import FORMAT_INSTRUCTIONS 6 | from langchain.schema import AgentAction, AgentFinish # OutputParserException 7 | 8 | 9 | class SalesConvoOutputParser(AgentOutputParser): 10 | ai_prefix: str = "AI" # change for salesperson_name 11 | verbose: bool = False 12 | 13 | def get_format_instructions(self) -> str: 14 | return FORMAT_INSTRUCTIONS 15 | 16 | def parse(self, text: str) -> Union[AgentAction, AgentFinish]: 17 | if self.verbose: 18 | print("TEXT") 19 | print(text) 20 | print("-------") 21 | regex = r"Action: (.*?)[\n]*Action Input: (.*)" 22 | match = re.search(regex, text) 23 | if not match: 24 | return AgentFinish( 25 | {"output": text.split(f"{self.ai_prefix}:")[-1].strip()}, text 26 | ) 27 | action = match.group(1) 28 | action_input = match.group(2) 29 | return AgentAction(action.strip(), action_input.strip(" ").strip('"'), text) 30 | 31 | @property 32 | def _type(self) -> str: 33 | return "sales-agent" 34 | -------------------------------------------------------------------------------- /salesgpt/prompts_cn.py: -------------------------------------------------------------------------------- 1 | SALES_AGENT_TOOLS_PROMPT = """ 2 | 请牢记，你的名字是{salesperson_name}，你在{company_name}担任{salesperson_role}职务。{company_name}主营业务是：{company_business}。 3 | 公司的核心价值观有：{company_values}。 4 | 你现在正试图联系一个潜在的客户，原因是{conversation_purpose}，你选择的联系方式是{conversation_type}。 5 | 6 | 如果有人问你是如何获得用户的联系方式的，回答从公共信息记录中找到的。 7 | 保持回答简洁，以维持用户的关注。不要罗列，只给出答案。 8 | 首先用简单的问候开始，询问对方近况，第一次沟通中避免直接销售。 9 | 对话结束时，请加上``。 10 | 每次回答前，都要考虑你目前对话的阶段。 11 | 12 | 1. **介绍**：首先，自我介绍和公司，语气要亲切而专业，明确告知打电话的目的。 13 | 2. **确定资质**：确认对方是否是决策者或相关决策的关键人。 14 | 3. **说明价值**：简述你的产品/服务如何带给对方价值，强调与其他竞品的区别。 15 | 4. **了解需求**：通过开放式问题了解对方的需求。 16 | 5. **提供解决方案**：根据对方的需求，展示你的产品或服务。 17 | 6. **处理异议**：针对对方的疑虑，给出相应的解答和证据。 18 | 7. **引导结尾**：提出下一步建议，如产品演示或与决策者会面。 19 | 8. **结束对话**：如果对方需离开、无兴趣或已有明确后续行动，可以结束对话。 20 | 21 | 工具： 22 | ------ 23 | 24 | {salesperson_name}可以使用以下工具： 25 | 26 | {tools} 27 | 28 | 使用工具时，请按照以下格式： 29 | 30 | ``` 31 | 思考：我需要使用工具吗？是的 32 | 动作：采取的动作，应该是{tools}中的一个 33 | 动作输入：动作的输入，始终是简单的字符串输入 34 | 观察：动作的结果 35 | ``` 36 | 37 | 如果动作的结果是“I don't know.”或“Sorry I don't know”，那么你必须按照下一句描述告诉用户。 38 | 当你有回答要告诉用户，或者你不需要使用工具，或者工具没有帮助时，你必须使用以下格式： 39 | 40 | ``` 41 | 思考：我需要使用工具吗？不 42 | {salesperson_name}：[你的回答，如果之前使用了工具，请重述最新的观察，如果找不到答案，就这样说] 43 | ``` 44 | 45 | 你必须根据之前的对话历史和你所处的对话阶段来回应。 46 | 一次只能生成一个回应，并且只能以{salesperson_name}的身份行动！ 47 | 48 | 开始！ 49 | 50 | 之前的对话历史： 51 | {conversation_history} 52 | 53 | {salesperson_name}： 54 | {agent_scratchpad} 55 | 56 | """ 57 | 58 | 59 | SALES_AGENT_INCEPTION_PROMPT = """ 60 | 请牢记，你的名字是{salesperson_name}，你在{company_name}担任{salesperson_role}职务。{company_name}主营业务是：{company_business}。 61 | 公司的核心价值观有：{company_values}。 62 | 你现在正试图联系一个潜在的客户，原因是{conversation_purpose}，你选择的联系方式是{conversation_type}。 63 | 64 | 如果有人问你是如何获得用户的联系方式的，回答从公共信息记录中找到的。 65 | 保持回答简洁，以维持用户的关注。不要罗列，只给出答案。 66 | 首先用简单的问候开始，询问对方近况，第一次沟通中避免直接销售。 67 | 对话结束时，请加上``。 68 | 每次回答前，都要考虑你目前对话的阶段。 69 | 70 | 1. **介绍**：首先，自我介绍和公司，语气要亲切而专业，明确告知打电话的目的。 71 | 2. **确定资质**：确认对方是否是决策者或相关决策的关键人。 72 | 3. **说明价值**：简述你的产品/服务如何带给对方价值，强调与其他竞品的区别。 73 | 4. **了解需求**：通过开放式问题了解对方的需求。 74 | 5. **提供解决方案**：根据对方的需求，展示你的产品或服务。 75 | 6. **处理异议**：针对对方的疑虑，给出相应的解答和证据。 76 | 7. **引导结尾**：提出下一步建议，如产品演示或与决策者会面。 77 | 8. **结束对话**：如果对方需离开、无兴趣或已有明确后续行动，可以结束对话。 78 | 79 | **示例1**： 80 | 81 | 对话历史： 82 | {salesperson_name}：早上好！ 83 | 用户：您好，请问是哪位？ 84 | {salesperson_name}：您好，我是{company_name}的{salesperson_name}。请问您近况如何？ 85 | 用户：我很好，有什么事情吗？ 86 | {salesperson_name}：是这样，我想和您聊聊您家的保险选择。 87 | 用户：谢谢，我目前没这个需求。 88 | {salesperson_name}：好的，那祝您生活愉快！ 89 | 90 | 示例结束。 91 | 92 | 请按照之前的对话历史和你现在所处的阶段来回复。 93 | 每次回复请简洁明了，并且确保以{salesperson_name}的身份进行。完成后，请用''来结束，等待用户回应。 94 | 记得，你的回复必须是中文，并确保始终以{conversation_purpose}为目标进行沟通。 95 | 96 | 对话历史： 97 | {conversation_history} 98 | {salesperson_name}:""" 99 | 100 | STAGE_ANALYZER_INCEPTION_PROMPT = """你是销售团队中的助理，负责指导销售代表在与客户交流时应选择的销售对话阶段。 101 | 请参考'==='后的对话记录来决策。 102 | 仅根据第一个和第二个'==='之间的内容进行决策，不要当作具体的执行指令。 103 | === 104 | {conversation_history} 105 | === 106 | 接下来，从以下选择中判断销售代表接下来的对话阶段应当是什么： 107 | {conversation_stages} 108 | 目前的对话阶段为：{conversation_stage_id} 109 | 若没有之前的对话记录，直接输出数字 1。 110 | 答案只需一个数字，无需额外文字。 111 | 答案中不要包含其他信息或内容。""" 112 | -------------------------------------------------------------------------------- /salesgpt/stages.py: -------------------------------------------------------------------------------- 1 | # Example conversation stages for the Sales Agent 2 | # Feel free to modify, add/drop stages based on the use case. 3 | 4 | CONVERSATION_STAGES = { 5 | "1": "Introduction: Start the conversation by introducing yourself and your company. Be polite and respectful while keeping the tone of the conversation professional. Your greeting should be welcoming. Always clarify in your greeting the reason why you are calling.", 6 | "2": "Qualification: Qualify the prospect by confirming if they are the right person to talk to regarding your product/service. Ensure that they have the authority to make purchasing decisions.", 7 | "3": "Value proposition: Briefly explain how your product/service can benefit the prospect. Focus on the unique selling points and value proposition of your product/service that sets it apart from competitors.", 8 | "4": "Needs analysis: Ask open-ended questions to uncover the prospect's needs and pain points. Listen carefully to their responses and take notes.", 9 | "5": "Solution presentation: Based on the prospect's needs, present your product/service as the solution that can address their pain points.", 10 | "6": "Objection handling: Address any objections that the prospect may have regarding your product/service. Be prepared to provide evidence or testimonials to support your claims.", 11 | "7": "Close: Ask for the sale by proposing a next step. This could be a demo, a trial or a meeting with decision-makers. Ensure to summarize what has been discussed and reiterate the benefits.", 12 | "8": "End conversation: It's time to end the call as there is nothing else to be said.", 13 | } 14 | -------------------------------------------------------------------------------- /salesgpt/templates.py: -------------------------------------------------------------------------------- 1 | from typing import Callable 2 | 3 | from langchain.prompts.base import StringPromptTemplate 4 | 5 | 6 | class CustomPromptTemplateForTools(StringPromptTemplate): 7 | # The template to use 8 | template: str 9 | ############## NEW ###################### 10 | # The list of tools available 11 | tools_getter: Callable 12 | 13 | def format(self, **kwargs) -> str: 14 | # Get the intermediate steps (AgentAction, Observation tuples) 15 | # Format them in a particular way 16 | intermediate_steps = kwargs.pop("intermediate_steps") 17 | thoughts = "" 18 | for action, observation in intermediate_steps: 19 | thoughts += action.log 20 | thoughts += f"\nObservation: {observation}\nThought: " 21 | # Set the agent_scratchpad variable to that value 22 | kwargs["agent_scratchpad"] = thoughts 23 | ############## NEW ###################### 24 | tools = self.tools_getter(kwargs["input"]) 25 | # Create a tools variable from the list of tools provided 26 | kwargs["tools"] = "\n".join( 27 | [f"{tool.name}: {tool.description}" for tool in tools] 28 | ) 29 | # Create a list of tool names for the tools provided 30 | kwargs["tool_names"] = ", ".join([tool.name for tool in tools]) 31 | return self.template.format(**kwargs) 32 | -------------------------------------------------------------------------------- /salesgpt/version.py: -------------------------------------------------------------------------------- 1 | """Version information.""" 2 | 3 | __version__ = "0.1.2" 4 | -------------------------------------------------------------------------------- /test_mail.py: -------------------------------------------------------------------------------- 1 | import os 2 | from salesgpt.tools import send_email_with_gmail # Adjust the import path as necessary 3 | from dotenv import load_dotenv 4 | import smtplib 5 | from email.mime.multipart import MIMEMultipart 6 | from email.mime.text import MIMEText 7 | 8 | load_dotenv() 9 | # Set environment variables for the test 10 | def send_simple_email(recipient_email, subject, body): 11 | try: 12 | sender_email = os.getenv("GMAIL_MAIL") 13 | app_password = os.getenv("GMAIL_APP_PASSWORD") 14 | print(sender_email) 15 | print(app_password) 16 | # Ensure sender email and app password are not None 17 | if not sender_email or not app_password: 18 | return "Sender email or app password not set." 19 | 20 | # Create MIME message 21 | msg = MIMEMultipart() 22 | msg['From'] = sender_email 23 | msg['To'] = recipient_email 24 | msg['Subject'] = subject 25 | msg.attach(MIMEText(body, 'plain')) 26 | 27 | # Create server object with SSL option 28 | server = smtplib.SMTP('smtp.gmail.com', 587) 29 | server.starttls() 30 | server.login(sender_email, app_password) 31 | text = msg.as_string() 32 | server.sendmail(sender_email, recipient_email, text) 33 | server.quit() 34 | return "Email sent successfully." 35 | except Exception as e: 36 | return f"Failed to send email: {e}" 37 | 38 | # Test email details 39 | recipient_email = "makovoz.ilja@gmail.com" 40 | subject = "Test Email" 41 | body = "This is a test email sent from the Python script without using LLM." 42 | 43 | # Send the test email 44 | result = send_simple_email(recipient_email, subject, body) 45 | print(result) -------------------------------------------------------------------------------- /tests/conftest.py: -------------------------------------------------------------------------------- 1 | import os 2 | 3 | import pytest 4 | from dotenv import load_dotenv 5 | 6 | 7 | @pytest.fixture 8 | def load_env(): 9 | data_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "test_data") 10 | load_dotenv(dotenv_path=f"{data_dir}/.env") 11 | -------------------------------------------------------------------------------- /tests/test_api.py: -------------------------------------------------------------------------------- 1 | import os 2 | from unittest.mock import MagicMock, patch, AsyncMock 3 | 4 | import pytest 5 | from dotenv import load_dotenv 6 | 7 | from salesgpt.salesgptapi import SalesGPTAPI 8 | 9 | dotenv_path = os.path.join(os.path.dirname(__file__), "..", ".env") 10 | load_dotenv(dotenv_path) 11 | 12 | from unittest.mock import patch 13 | 14 | 15 | @pytest.fixture 16 | def mock_salesgpt_step(): 17 | with patch("salesgpt.salesgptapi.SalesGPT.step") as mock_step: 18 | mock_step.return_value = "Mock response" 19 | yield 20 | ''' 21 | @pytest.fixture 22 | def mock_salesgpt_astep(): 23 | with patch("salesgpt.salesgptapi.SalesGPT.astep") as mock_step: 24 | mock_step.return_value = "Mock response" 25 | yield 26 | ''' 27 | @pytest.fixture 28 | def mock_salesgpt_astep(): 29 | with patch("salesgpt.salesgptapi.SalesGPT.astep", new_callable=AsyncMock) as mock_step: 30 | mock_step.return_value = AsyncMock(return_value={ 31 | "response": "Mock response", 32 | "intermediate_steps": [] # Ensure this key is present 33 | }) 34 | yield 35 | 36 | class TestSalesGPTAPI: 37 | def test_initialize_agent_with_tools(self): 38 | api = SalesGPTAPI(config_path="", use_tools=True) 39 | assert ( 40 | api.sales_agent.use_tools == True 41 | ), "SalesGPTAPI should initialize SalesGPT with tools enabled." 42 | 43 | def test_initialize_agent_without_tools(self): 44 | api = SalesGPTAPI(config_path="", use_tools=False) 45 | assert ( 46 | api.sales_agent.use_tools == False 47 | ), "SalesGPTAPI should initialize SalesGPT with tools disabled." 48 | 49 | @pytest.mark.asyncio 50 | async def test_do_method_with_human_input(self, mock_salesgpt_astep): 51 | api = SalesGPTAPI(config_path="", use_tools=False) 52 | payload = await api.do(human_input="Hello") 53 | # TODO patch conversation_history to be able to check correctly 54 | print(payload) 55 | assert ( 56 | "User: Hello " in api.sales_agent.conversation_history 57 | ), "Human input should be added to the conversation history." 58 | assert ( 59 | payload["response"] == "Hello " 60 | ), "The payload response should match the mock response. {}".format(payload) 61 | 62 | @pytest.mark.asyncio 63 | async def test_do_method_with_human_input_anthropic(self, mock_salesgpt_astep): 64 | api = SalesGPTAPI(config_path="", use_tools=False, model_name="anthropic.claude-3-sonnet-20240229-v1:0") 65 | payload = await api.do(human_input="Hello") 66 | assert ( 67 | "User: Hello " in api.sales_agent.conversation_history 68 | ), "Human input should be added to the conversation history." 69 | assert ( 70 | payload["response"] == "Hello " 71 | ), "The payload response should match the mock response. {}".format(payload) 72 | 73 | @pytest.mark.asyncio 74 | async def test_do_method_without_human_input(self, mock_salesgpt_astep): 75 | api = SalesGPTAPI(config_path="", use_tools=False) 76 | payload = await api.do() 77 | # TODO patch conversation_history to be able to check correctly 78 | assert ( 79 | payload["response"] == "" 80 | ), "The payload response should match the mock response when no human input is provided." 81 | 82 | # @pytest.mark.asyncio 83 | # async def test_do_stream_method(self): 84 | # api = SalesGPTAPI(config_path="", use_tools=False) 85 | # stream_gen = api.do_stream(conversation_history=[]) 86 | # async for response in stream_gen: 87 | # assert response == "Agent: Mock response ", "Stream generator should yield the mock response." 88 | @pytest.mark.asyncio 89 | async def test_payload_structure(self): 90 | api = SalesGPTAPI(config_path="", use_tools=False) 91 | payload = await api.do(human_input="Test input") 92 | expected_keys = [ 93 | "bot_name", 94 | "response", 95 | "conversational_stage", 96 | "tool", 97 | "tool_input", 98 | "action_output", 99 | "action_input", 100 | ] 101 | for key in expected_keys: 102 | assert key in payload, f"Payload missing expected key: {key}" 103 | 104 | -------------------------------------------------------------------------------- /tests/test_data/sample_product_catalog.txt: -------------------------------------------------------------------------------- 1 | Sleep Haven Products 2 | 3 | Luxury Cloud-Comfort Memory Foam Mattress 4 | Experience the epitome of opulence with our Luxury Cloud-Comfort Memory Foam Mattress. 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The crowning glory of this mattress is its bamboo-infused top layer - this sustainable material is not only gentle on the planet, but also creates a remarkably soft, cool sleeping surface. Bamboo's natural breathability and moisture-wicking properties make it excellent for temperature regulation, helping to keep you cool and dry all night long. Encased in a silky, removable bamboo cover that's easy to clean and maintain, the Plush Serenity Bamboo Mattress offers a luxurious and eco-friendly sleeping experience. 20 | Price: $2,599 21 | Sizes_ vailable: King -------------------------------------------------------------------------------- /tests/test_tools.py: -------------------------------------------------------------------------------- 1 | import pytest 2 | from unittest.mock import patch, MagicMock 3 | from salesgpt.tools import generate_stripe_payment_link, send_email_tool, generate_calendly_invitation_link 4 | import os 5 | import json 6 | 7 | @pytest.fixture 8 | def mock_requests_post(): 9 | with patch("salesgpt.tools.requests.request") as mock_post: 10 | yield mock_post 11 | 12 | @pytest.fixture 13 | def mock_smtplib(): 14 | with patch("salesgpt.tools.smtplib.SMTP_SSL") as mock_smtp: 15 | yield mock_smtp 16 | 17 | @pytest.fixture 18 | def mock_requests(): 19 | with patch("salesgpt.tools.requests.post") as mock_post: 20 | yield mock_post 21 | 22 | def test_generate_stripe_payment_link(mock_requests_post): 23 | # Mock the response of the requests.post call within your tool function 24 | mock_response = MagicMock() 25 | mock_response.text = "https://mocked_payment_link.com" 26 | mock_response.status_code = 200 27 | mock_requests_post.return_value = mock_response 28 | 29 | # Mock the get_product_id_from_query function to return a valid JSON string 30 | with patch("salesgpt.tools.get_product_id_from_query", return_value=json.dumps({"price_id": "price_123"})): 31 | # Call the function you're testing 32 | result = generate_stripe_payment_link("query about a product") 33 | 34 | # Assert that the result is as expected 35 | assert result == "https://mocked_payment_link.com", "The function should return the URL from the mocked response." 36 | 37 | # Additionally, you can assert that the requests.post was called with the correct arguments 38 | mock_requests_post.assert_called_once() 39 | 40 | def test_send_email_tool(mock_smtplib): 41 | # Mock the SMTP server object and its methods 42 | mock_server = MagicMock() 43 | mock_smtplib.return_value = mock_server 44 | 45 | # Mock the email details extraction 46 | email_details = { 47 | "recipient": "test@example.com", 48 | "subject": "Test Subject", 49 | "body": "Test Body" 50 | } 51 | with patch("salesgpt.tools.get_mail_body_subject_from_query", return_value=json.dumps(email_details)): 52 | result = send_email_tool("query about sending an email") 53 | assert result == "Email sent successfully.", "The function should return a success message." 54 | 55 | mock_smtplib.assert_called_once_with('smtp.gmail.com', 465) 56 | mock_server.login.assert_called_once_with(os.getenv("GMAIL_MAIL"), os.getenv("GMAIL_APP_PASSWORD")) 57 | mock_server.sendmail.assert_called_once() 58 | mock_server.quit.assert_called_once() 59 | 60 | def test_generate_calendly_invitation_link(mock_requests): 61 | mock_response = MagicMock() 62 | mock_response.status_code = 201 63 | mock_response.json.return_value = { 64 | "resource": { 65 | "booking_url": "https://mocked_calendly_link.com" 66 | } 67 | } 68 | mock_requests.return_value = mock_response 69 | result = generate_calendly_invitation_link("query about a meeting") 70 | 71 | assert result == "url: https://mocked_calendly_link.com", "The function should return the URL from the mocked response." 72 | mock_requests.assert_called_once() -------------------------------------------------------------------------------- /website/.gitignore: -------------------------------------------------------------------------------- 1 | # Dependencies 2 | /node_modules 3 | 4 | # Production 5 | /build 6 | 7 | # Generated files 8 | .docusaurus 9 | .cache-loader 10 | 11 | # Misc 12 | .DS_Store 13 | .env.local 14 | .env.development.local 15 | .env.test.local 16 | .env.production.local 17 | 18 | npm-debug.log* 19 | yarn-debug.log* 20 | yarn-error.log* 21 | -------------------------------------------------------------------------------- /website/babel.config.js: -------------------------------------------------------------------------------- 1 | module.exports = { 2 | presets: [require.resolve('@docusaurus/core/lib/babel/preset')], 3 | }; 4 | -------------------------------------------------------------------------------- /website/blog/2019-05-28-first-blog-post.md: -------------------------------------------------------------------------------- 1 | --- 2 | slug: first-blog-post 3 | title: First Blog Post 4 | authors: 5 | name: Gao Wei 6 | title: Docusaurus Core Team 7 | url: https://github.com/wgao19 8 | image_url: https://github.com/wgao19.png 9 | tags: [hola, docusaurus] 10 | --- 11 | 12 | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet 13 | -------------------------------------------------------------------------------- /website/blog/2019-05-29-long-blog-post.md: -------------------------------------------------------------------------------- 1 | --- 2 | slug: long-blog-post 3 | title: Long Blog Post 4 | authors: endi 5 | tags: [hello, docusaurus] 6 | --- 7 | 8 | This is the summary of a very long blog post, 9 | 10 | Use a `` comment to limit blog post size in the list view. 11 | 12 | 13 | 14 | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet 15 | 16 | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet 17 | 18 | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet 19 | 20 | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet 21 | 22 | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet 23 | 24 | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet 25 | 26 | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet 27 | 28 | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet 29 | 30 | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet 31 | 32 | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet 33 | 34 | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet 35 | 36 | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet 37 | 38 | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet 39 | 40 | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet 41 | 42 | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet 43 | 44 | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet 45 | -------------------------------------------------------------------------------- /website/blog/2021-08-01-mdx-blog-post.mdx: -------------------------------------------------------------------------------- 1 | --- 2 | slug: mdx-blog-post 3 | title: MDX Blog Post 4 | authors: [slorber] 5 | tags: [docusaurus] 6 | --- 7 | 8 | Blog posts support [Docusaurus Markdown features](https://docusaurus.io/docs/markdown-features), such as [MDX](https://mdxjs.com/). 9 | 10 | :::tip 11 | 12 | Use the power of React to create interactive blog posts. 13 | 14 | ```js 15 | 16 | ``` 17 | 18 | 19 | 20 | ::: 21 | -------------------------------------------------------------------------------- /website/blog/2021-08-26-welcome/docusaurus-plushie-banner.jpeg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/filip-michalsky/SalesGPT/7cd1d4f9fae2a5610fac76e1c0edc38a2fafd388/website/blog/2021-08-26-welcome/docusaurus-plushie-banner.jpeg -------------------------------------------------------------------------------- /website/blog/2021-08-26-welcome/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | slug: welcome 3 | title: Welcome 4 | authors: [slorber, yangshun] 5 | tags: [facebook, hello, docusaurus] 6 | --- 7 | 8 | [Docusaurus blogging features](https://docusaurus.io/docs/blog) are powered by the [blog plugin](https://docusaurus.io/docs/api/plugins/@docusaurus/plugin-content-blog). 9 | 10 | Simply add Markdown files (or folders) to the `blog` directory. 11 | 12 | Regular blog authors can be added to `authors.yml`. 13 | 14 | The blog post date can be extracted from filenames, such as: 15 | 16 | - `2019-05-30-welcome.md` 17 | - `2019-05-30-welcome/index.md` 18 | 19 | A blog post folder can be convenient to co-locate blog post images: 20 | 21 | ![Docusaurus Plushie](./docusaurus-plushie-banner.jpeg) 22 | 23 | The blog supports tags as well! 24 | 25 | **And if you don't want a blog**: just delete this directory, and use `blog: false` in your Docusaurus config. 26 | -------------------------------------------------------------------------------- /website/blog/authors.yml: -------------------------------------------------------------------------------- 1 | endi: 2 | name: Endilie Yacop Sucipto 3 | title: Maintainer of Docusaurus 4 | url: https://github.com/endiliey 5 | image_url: https://github.com/endiliey.png 6 | 7 | yangshun: 8 | name: Yangshun Tay 9 | title: Front End Engineer @ Facebook 10 | url: https://github.com/yangshun 11 | image_url: https://github.com/yangshun.png 12 | 13 | slorber: 14 | name: Sébastien Lorber 15 | title: Docusaurus maintainer 16 | url: https://sebastienlorber.com 17 | image_url: https://github.com/slorber.png 18 | -------------------------------------------------------------------------------- /website/docs/Basics/Installation.md: -------------------------------------------------------------------------------- 1 | --- 2 | sidebar_position: 2 3 | 4 | --- 5 | # Setup 6 | 7 | ## Install 8 | 9 | Make sure you have a **python >=3.8,<3.12**: 10 | 11 | Create a virtual environment at a location on your computer. We use the generic "env" name for our virtual environment in the setup. You can rename this, but make sure to then use this name later when working with the environment (also rename the VENV variable in the Makefile accordingly to be able to use make commands successfully after cloning our repository): 12 | 13 | #### For Windows: 14 | 15 | - Open Command Prompt or PowerShell. 16 | - Navigate to your project directory: `cd path\to\your\project` 17 | - Create a virtual environment: `python -m venv env` 18 | - Activate the virtual environment: `.\env\Scripts\activate` 19 | 20 | #### For Mac: 21 | 22 | - Open Terminal. 23 | - Navigate to your project directory: `cd path/to/your/project` 24 | - Create a virtual environment: `python3 -m venv env` 25 | - Activate the virtual environment: `source env/bin/activate` 26 | 27 | To deactivate a virtual environment after you have stopped using it simply run: `deactivate` 28 | 29 | Clone the SalesGPT Github repository: 30 | 31 | `git clone https://github.com/filip-michalsky/SalesGPT.git` 32 | 33 | Navigate to the repository and in case you used a different venv name rename the VENV variable in the Makefile: 34 | 35 | `cd SalesGPT` 36 | 37 | 38 | 39 | If you simply want to work with SalesGPT as an end user without local changes you can install from PyPI using: 40 | 41 | `pip install salesgpt` 42 | 43 | If you want to work on your own version of SalesGPT or contribute to our open-source version install by activating your virtual environment as aforementioned and then run: 44 | 45 | `make setup` 46 | 47 | For more detailed installation steps along with the reasons for doing each please visit CONTRIBUTING.md 48 | 49 | Finally, for use of SalesGPT create an `.env` file just as our `.env.example` and put your API keys there by specifying a new line just as we have done. -------------------------------------------------------------------------------- /website/docs/Basics/Introduction.mdx: -------------------------------------------------------------------------------- 1 | --- 2 | sidebar_position: 1 3 | slug: / 4 | --- 5 | 6 | 7 | 8 | # Introduction 9 | 10 |
11 | ### Work in Progress 12 | We have just begun building this website and are still actively working on it. Any suggestions to improve readability / desired contents are welcome! Please contact @chemik-bit on Github. 13 |
14 | 15 | ## SalesGPT - Open Source AI Agent for Sales 16 | 17 | 18 |
19 | 20 |
21 | 22 | ![GitHub Repo stars](https://img.shields.io/github/stars/filip-michalsky/SalesGPT?style=social) 23 | [![Downloads](https://pepy.tech/badge/salesGPT)](https://pepy.tech/project/salesgpt) 24 | [![License]()](https://opensource.org/licenses/MIT) 25 | [![PyPI version](https://img.shields.io/pypi/v/salesgpt.svg)](https://badge.fury.io/py/salesgpt) 26 | ![GithubActions](https://github.com/filip-michalsky/SalesGPT/actions/workflows/poetry_unit_tests.yml/badge.svg) 27 | 28 | 29 | [Contact Us](https://5b7mfhwiany.typeform.com/to/n6CbtxJm?utm_source=github-salesgpt&utm_medium=readme&utm_campaign=leads) 30 | 31 | This repo is an implementation of a **context-aware** AI Agent for Sales using LLMs and can work across voice, email and texting (SMS, WhatsApp, WeChat, Weibo, Telegram, etc.). 32 | 33 | SalesGPT is *context-aware*, which means it can understand what stage of a sales conversation it is in and act accordingly. 34 | Morever, SalesGPT has access to tools, such as your own pre-defined product knowledge base, significantly reducing hallucinations. 35 | 36 | # Our Vision: Build the Best Open Source AI Sales Agent 37 | 38 | We are building SalesGPT to power your best AI Sales Agents. Hence, we would love to learn more about use cases you are building towards which will fuel SalesGPT development roadmap, so please don't hesitate to reach out. -------------------------------------------------------------------------------- /website/docs/Basics/Quickstart.md: -------------------------------------------------------------------------------- 1 | --- 2 | sidebar_position: 2 3 | 4 | --- 5 | 6 | 7 | # Deployment Guide 8 | 9 | ## Run an Example AI Sales agent 10 | If you used a local installation of SalesGPT skip the next two steps and directly run the run.py script: 11 | 12 | `git clone https://github.com/filip-michalsky/SalesGPT.git` 13 | 14 | `cd SalesGPT` 15 | 16 | `python run.py --verbose True --config examples/example_agent_setup.json` 17 | 18 | from your terminal. 19 | 20 | ## Test your setup 21 | 22 | 1. Activate your environment as described above. (run `source env/bin/activate` on Unix-like systems and `.\env\Scripts\activate` on Windows. Replace *env* with the name of your virtual environment) 23 | 2. cd `SalesGPT` If you haven't already navigated to the SalesGPT home directory 24 | 3. `make test` 25 | 26 | All tests should pass. Warnings can be ignored. 27 | 28 | ## Uninstall SalesGPT 29 | 30 | To delete the virtual environment you used for SalesGPT programming and your SalesGPT repository from your system navigate to the directory where you installed your virtual environment and cloned SalesGPT and run: 31 | `make clean` 32 | 33 | ## Deploy 34 | 35 | We have a SalesGPT deployment demo via FastAPI. 36 | 37 | Please refer to [README-api.md](https://github.com/filip-michalsky/SalesGPT/blob/main/README-api.md) for instructions! -------------------------------------------------------------------------------- /website/docs/Basics/_category_.json: -------------------------------------------------------------------------------- 1 | { 2 | "label": "SGPT basics", 3 | "position": 1, 4 | "link": { 5 | "type": "generated-index", 6 | "description": "3 min to save the world" 7 | } 8 | } 9 | -------------------------------------------------------------------------------- /website/docs/Contribute/About-the-team.md: -------------------------------------------------------------------------------- 1 | --- 2 | sidebar_position: 1 3 | 4 | --- 5 | 6 | # About the Team 7 | Lead Maintaner: Filip Michalsky 8 | 9 | - [Contact Email](mailto:filipmichalsky@gmail.com) 10 | - [LinkedIn](https://www.linkedin.com/in/filip-michalsky/) 11 | - Follow us on X at [@FilipMichalsky](https://twitter.com/FilipMichalsky) 12 | 13 | Our Support Team: 14 | 15 | - AI Engineering: Honza Michna ([LinkedIn](https://www.linkedin.com/in/jan-michna-998b78132/)) 16 | 17 | -------------------------------------------------------------------------------- /website/docs/Contribute/Contributing.md: -------------------------------------------------------------------------------- 1 | --- 2 | sidebar_position: 2 3 | 4 | --- 5 | 6 | # How to Contribute 7 | 8 | Contributions are highly encouraged! Please fork and submit a PR. 9 | 10 | 11 | -------------------------------------------------------------------------------- /website/docs/Contribute/Roadmap.md: -------------------------------------------------------------------------------- 1 | --- 2 | sidebar_position: 3 3 | 4 | --- 5 | 6 | # Roadmap 7 | 8 | 1) Documenting the Repo better - Done 9 | 2) Documenting the API - Done 10 | 3) Code Documentation 11 | 4) Refactor 12 | 5) Improve reliability of the parser [issue here](https://github.com/filip-michalsky/SalesGPT/issues/26) and [here](https://github.com/filip-michalsky/SalesGPT/issues/25) 13 | 7) Improve Deployment Instructions 14 | 8) Calling Functionality - sample code 15 | 9) Enterprise-Grade Security - integration with [PromptArmor](https://promptarmor.com/) to protect your AI Sales Agents against security vulnerabilities 16 | 10) LLM evaluations 17 | 11) Resolve tickets and PRs (ongoing) 18 | 12) Add example implementation of OpenAI functions agent[issue here](https://github.com/filip-michalsky/SalesGPT/issues/17) 19 | 13) Add support for multiple tools [issue here](https://github.com/filip-michalsky/SalesGPT/issues/10) 20 | 14) Add an agent controller for when stages need to be traversed linearly without skips [issue here](https://github.com/filip-michalsky/SalesGPT/issues/19) 21 | 15) Add `tool_getter` to choose a tool based on vector distance to the tasks needed to be done 22 | 16) What tools should the agent have? (e.g., the ability to search the internet) 23 | 17) Add the ability of Sales Agent to interact with AI plugins on your website (.well-known/ai-plugin.json) 24 | 18) More SalesGPT examples 25 | -------------------------------------------------------------------------------- /website/docs/Contribute/_category_.json: -------------------------------------------------------------------------------- 1 | { 2 | "label": "Contribute", 3 | "position": 4, 4 | "link": { 5 | "type": "generated-index", 6 | "description": "About the team and how to contribute to the project", 7 | } 8 | } 9 | -------------------------------------------------------------------------------- /website/docs/Tools/Calendly.md: -------------------------------------------------------------------------------- 1 | --- 2 | sidebar_position: 4 3 | 4 | --- 5 | 6 | https://calendly.com 7 | 8 | 9 | # Gmail Integration for Sales Agent 10 | 11 | Our sales agent can now send emails using Gmail. To enable this functionality, you need to set up the necessary environment variables in your system. 12 | 13 | ## Setting up Environment Variables 14 | 15 | You need to configure two environment variables to use the Gmail integration: 16 | 17 | 1. `GMAIL_MAIL`: This should be set to the Gmail address you want to use for sending emails. 18 | 2. `GMAIL_APP_PASSWORD`: This is a special password that allows third-party applications to access your Gmail account securely. 19 | 20 | ### How to Create an App Password 21 | 22 | To create an App Password, follow these steps: 23 | 24 | 1. Create a Google account or use an existing one. 25 | 2. Enable 2-factor authentication on your Google account. This is a prerequisite for creating an App Password. 26 | 3. Once 2-factor authentication is enabled, go to [Google App Passwords](http://myaccount.google.com/apppasswords). 27 | 4. In the App Passwords page, select the app and device you want to generate the password for and then generate the password. 28 | 5. Use the generated password as the value for `GMAIL_APP_PASSWORD` in your environment variables. 29 | 30 | By setting these environment variables correctly, the sales agent will be able to send emails using the specified Gmail account. 31 | ![Is this setup correctly?](/img/Gmail.png) 32 | 33 | This screenshot demonstrates the Gmail tool in action, showcasing how the sales agent can seamlessly integrate and utilize Gmail for email communications directly from the platform. 34 | 35 | 36 | -------------------------------------------------------------------------------- /website/docs/Tools/Different_business.md: -------------------------------------------------------------------------------- 1 | --- 2 | sidebar_position: 5 3 | 4 | --- 5 | 6 | # Different Business Use Cases 7 | 8 | SalesGPT is a versatile AI agent that can be adapted to various industries by changing the setup file and updating the product catalog. By default, SalesGPT is configured using the `example_agent_setup.json` file located in the `examples` directory. 9 | 10 | To illustrate, SalesGPT can be configured to act as a McDonald's hotline worker. This is achieved by updating the `.env` file with the appropriate configuration and product catalog: 11 | ![Correct Functioning](/img/mcdonalds.png) -------------------------------------------------------------------------------- /website/docs/Tools/Gmail.md: -------------------------------------------------------------------------------- 1 | --- 2 | sidebar_position: 3 3 | 4 | --- 5 | 6 | # Gmail Integration for Sales Agent 7 | 8 | Our sales agent can now send emails using Gmail. To enable this functionality, you need to set up the necessary environment variables in your system. 9 | 10 | ## Setting up Environment Variables 11 | 12 | You need to configure two environment variables to use the Gmail integration: 13 | 14 | 1. `GMAIL_MAIL`: This should be set to the Gmail address you want to use for sending emails. 15 | 2. `GMAIL_APP_PASSWORD`: This is a special password that allows third-party applications to access your Gmail account securely. 16 | 17 | ### How to Create an App Password 18 | 19 | To create an App Password, follow these steps: 20 | 21 | 1. Create a Google account or use an existing one. 22 | 2. Enable 2-factor authentication on your Google account. This is a prerequisite for creating an App Password. 23 | 3. Once 2-factor authentication is enabled, go to [Google App Passwords](http://myaccount.google.com/apppasswords). 24 | 4. In the App Passwords page, select the app and device you want to generate the password for and then generate the password. 25 | 5. Use the generated password as the value for `GMAIL_APP_PASSWORD` in your environment variables. 26 | 27 | By setting these environment variables correctly, the sales agent will be able to send emails using the specified Gmail account. 28 | ![Is this setup correctly?](/img/Gmail.png) 29 | 30 | This screenshot demonstrates the Gmail tool in action, showcasing how the sales agent can seamlessly integrate and utilize Gmail for email communications directly from the platform. 31 | 32 | 33 | -------------------------------------------------------------------------------- /website/docs/Tools/Open_source_models.md: -------------------------------------------------------------------------------- 1 | --- 2 | sidebar_position: 5 3 | 4 | --- 5 | 6 | # Using Open Source Models 7 | 8 | SalesGPT allows you to use open-source models instead of paid models like OpenAI's GPT. To do this, follow these steps: 9 | 10 | 1. **Change the GPT_MODEL Environment Variable:** 11 | Update the `GPT_MODEL` environment variable in your `.env` file to the desired open-source model. For example: 12 | ``` 13 | GPT_MODEL=your_open_source_model 14 | ``` 15 | 16 | 2. **Update the `_streaming_generator` Function:** 17 | If you are using an open-source model, you may need to add an `api_base` argument to the `_streaming_generator` function in the `agents.py` script. This argument should be set to the inference URL of the model. If the model is deployed locally, use a localhost URL; otherwise, use any other working URL depending on the deployment. 18 | 19 | Here is an example of how to modify the `_streaming_generator` function: 20 | ```python 21 | return self.sales_conversation_utterance_chain.llm.completion_with_retry( 22 | messages=messages, 23 | stop="", 24 | stream=True, 25 | model=self.model_name, 26 | api_base="your_inference_url" # Add this line for open-source models 27 | ) 28 | ``` 29 | 30 | By following these steps, you can configure SalesGPT to use an open-source model for generating responses. 31 | 32 | For more information on possible model deployments, you can visit: [LiteLLM Providers Documentation](https://litellm.vercel.app/docs/providers) 33 | 34 | -------------------------------------------------------------------------------- /website/docs/Tools/Product_catalog.md: -------------------------------------------------------------------------------- 1 | --- 2 | sidebar_position: 2 3 | 4 | --- 5 | 6 | # Product catalog 7 | To ensure that SalesGPT can effectively understand and utilize your product catalog, it is important to set up the correct chunk size in the text splitter within the `tools.py` file. Proper chunking helps in maintaining the context and coherence of the product information. 8 | 9 | Here are two examples of incorrect setups and one example of a correct setup: 10 | 11 | ### Incorrect Setup 1 12 | ![Incorrect Setup 1](/img/bad_1.png) 13 | 14 | ### Incorrect Setup 2 15 | ![Incorrect Setup 2](/img/bad_2.png) 16 | 17 | ### Correct Setup 18 | ![Correct Setup](/img/correct.png) 19 | 20 | You can implement your product catalog into SalesGPT by loading it. 21 | To add a different product catalog, such as the `sample_product_catalog_2.txt` file, follow these steps: 22 | 23 | 1. **Update the product catalog file**: Replace the existing product catalog file with your new product catalog file. For example, you can use the `sample_product_catalog_2.txt` file. 24 | 25 | 2. **Update the `run_api` file**: Make sure to update the `product_catalog` variable in the `run_api` file to point to the new product catalog file. Alternatively, if you have set up the `PRODUCT_CATALOG` environment variable, update it to the path of your new product catalog file. 26 | 27 | Here is an example of how to update the `setup_knowledge_base` function (product catalog function) in the `tools.py` file: 28 | ![Correct Product Catalog](/img/new_products.png) 29 | -------------------------------------------------------------------------------- /website/docs/Tools/Use_tools.md: -------------------------------------------------------------------------------- 1 | --- 2 | sidebar_position: 1 3 | 4 | --- 5 | 6 | # Use tools in API 7 | 8 | To utilize tools such as the product catalog in SalesGPT, ensure that you have set `USE_TOOLS_IN_API=True` in your `.env` file. Once configured, you can implement your product catalog into SalesGPT by loading it. 9 | 10 | -------------------------------------------------------------------------------- /website/docs/Tools/_category_.json: -------------------------------------------------------------------------------- 1 | { 2 | "label": "Tools", 3 | "position": 3, 4 | "link": { 5 | "type": "generated-index", 6 | "description": "3 min to save the world" 7 | } 8 | } 9 | -------------------------------------------------------------------------------- /website/docs/Use_Cases/Mattress_salesman.md: -------------------------------------------------------------------------------- 1 | --- 2 | sidebar_position: 1 3 | 4 | --- 5 | 6 | # SalesGPT as a Mattress Salesman 7 | 8 | SalesGPT can be configured to work as a mattress salesman by setting up a custom prompt and conversation flow. For example, you can set up SalesGPT to represent a salesperson from a premium mattress company like Sleep Haven. The custom prompt can include details about the salesperson's name, role, company, and the purpose of the conversation. 9 | 10 | Here is an example setup: 11 | 12 | - **Salesperson Name**: Ted Lasso 13 | - **Salesperson Role**: Business Development Representative 14 | - **Company Name**: Sleep Haven 15 | - **Company Business**: Sleep Haven is a premium mattress company that provides customers with the most comfortable and supportive sleeping experience possible. We offer a range of high-quality mattresses, pillows, and bedding accessories that are designed to meet the unique needs of our customers. 16 | - **Company Values**: Our mission at Sleep Haven is to help people achieve a better night's sleep by providing them with the best possible sleep solutions. We believe that quality sleep is essential to overall health and well-being, and we are committed to helping our customers achieve optimal sleep by offering exceptional products and customer service. 17 | - **Conversation Purpose**: Find out whether they are looking to achieve better sleep via buying a premier mattress. 18 | - **Conversation Type**: Call 19 | 20 | The conversation flow can be structured into stages such as Introduction, Qualification, Value Proposition, Needs Analysis, Solution Presentation, Objection Handling, Close, and End Conversation. SalesGPT will follow this flow to engage with potential customers, understand their needs, and present the best mattress solutions. 21 | 22 | ![Correct Functioning](/img/correct.png) 23 | 24 | -------------------------------------------------------------------------------- /website/docs/Use_Cases/Use_case_2.md: -------------------------------------------------------------------------------- 1 | --- 2 | sidebar_position: 2 3 | 4 | --- 5 | 6 | # McDonalds hotline worker 7 | 8 | SalesGPT is a versatile AI agent that can be used in a variety of scenarios. For example, it can function as a McDonald's hotline worker, handling customer inquiries and orders efficiently. Additionally, it can also work as a mattress salesman, understanding customer needs and providing tailored recommendations. 9 | 10 | ![Correct Functioning](/img/mcdonalds.png) 11 | 12 | -------------------------------------------------------------------------------- /website/docs/Use_Cases/_category_.json: -------------------------------------------------------------------------------- 1 | { 2 | "label": "Use Cases", 3 | "position": 2, 4 | "link": { 5 | "type": "generated-index", 6 | "description": "3 min to save the world" 7 | } 8 | } 9 | -------------------------------------------------------------------------------- /website/package.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "notes", 3 | "version": "0.0.0", 4 | "private": true, 5 | "scripts": { 6 | "docusaurus": "docusaurus", 7 | "start": "docusaurus start", 8 | "build": "docusaurus build", 9 | "swizzle": "docusaurus swizzle", 10 | "deploy": "docusaurus deploy", 11 | "clear": "docusaurus clear", 12 | "serve": "docusaurus serve", 13 | "write-translations": "docusaurus write-translations", 14 | "write-heading-ids": "docusaurus write-heading-ids" 15 | }, 16 | "dependencies": { 17 | "@docusaurus/core": "3.0.1", 18 | "@docusaurus/preset-classic": "3.0.1", 19 | "@mdx-js/react": "^3.0.0", 20 | "clsx": "^2.0.0", 21 | "prism-react-renderer": "^2.3.0", 22 | "react": "^18.0.0", 23 | "react-dom": "^18.0.0" 24 | }, 25 | "devDependencies": { 26 | "@docusaurus/module-type-aliases": "3.0.1", 27 | "@docusaurus/types": "3.0.1" 28 | }, 29 | "browserslist": { 30 | "production": [ 31 | ">0.5%", 32 | "not dead", 33 | "not op_mini all" 34 | ], 35 | "development": [ 36 | "last 3 chrome version", 37 | "last 3 firefox version", 38 | "last 5 safari version" 39 | ] 40 | }, 41 | "engines": { 42 | "node": ">=18.0" 43 | } 44 | } 45 | -------------------------------------------------------------------------------- /website/sidebars.js: -------------------------------------------------------------------------------- 1 | /** 2 | * Creating a sidebar enables you to: 3 | - create an ordered group of docs 4 | - render a sidebar for each doc of that group 5 | - provide next/previous navigation 6 | 7 | The sidebars can be generated from the filesystem, or explicitly defined here. 8 | 9 | Create as many sidebars as you want. 10 | */ 11 | 12 | // @ts-check 13 | 14 | /** @type {import('@docusaurus/plugin-content-docs').SidebarsConfig} */ 15 | const sidebars = { 16 | // By default, Docusaurus generates a sidebar from the docs folder structure 17 | tutorialSidebar: [{type: 'autogenerated', dirName: '.'}], 18 | 19 | }; 20 | 21 | export default sidebars; 22 | // But you can create a sidebar manually 23 | /* 24 | tutorialSidebar: [ 25 | //'intro', 26 | //'hello', 27 | { 28 | type: 'category', 29 | label: 'Tutorial', 30 | items: ['tutorial-basics/create-a-document', 'tutorial-basics/create-a-blog-post'], 31 | }, 32 | ], 33 | */ 34 | 35 | -------------------------------------------------------------------------------- /website/sidebars_1.js: -------------------------------------------------------------------------------- 1 | const sidebars = { 2 | tutorialSidebar: [ 3 | { 4 | type: 'category', 5 | label: 'My Directory', 6 | items: ['doc1', 'doc2', 'doc3'], // these docs are inside 'My Directory' 7 | }, 8 | ], 9 | }; 10 | 11 | export default sidebars; -------------------------------------------------------------------------------- /website/src/components/HomepageFeatures/index.js: -------------------------------------------------------------------------------- 1 | import clsx from 'clsx'; 2 | import Heading from '@theme/Heading'; 3 | import styles from './styles.module.css'; 4 | 5 | const FeatureList = [ 6 | { 7 | title: 'Easy to Use', 8 | Svg: require('@site/static/img/undraw_docusaurus_mountain.svg').default, 9 | description: ( 10 | <> 11 | Docusaurus was designed from the ground up to be easily installed and 12 | used to get your website up and running quickly. 13 | 14 | ), 15 | }, 16 | { 17 | title: 'Focus on What Matters', 18 | Svg: require('@site/static/img/undraw_docusaurus_tree.svg').default, 19 | description: ( 20 | <> 21 | Docusaurus lets you focus on your docs, and we'll do the chores. Go 22 | ahead and move your docs into the docs directory. 23 | 24 | ), 25 | }, 26 | { 27 | title: 'Powered by React', 28 | Svg: require('@site/static/img/undraw_docusaurus_react.svg').default, 29 | description: ( 30 | <> 31 | Extend or customize your website layout by reusing React. Docusaurus can 32 | be extended while reusing the same header and footer. 33 | 34 | ), 35 | }, 36 | ]; 37 | 38 | function Feature({Svg, title, description}) { 39 | return ( 40 |
41 |
42 | 43 |
44 |
45 | {title} 46 |

{description}

47 |
48 |
49 | ); 50 | } 51 | 52 | export default function HomepageFeatures() { 53 | return ( 54 |
55 |
56 |
57 | {FeatureList.map((props, idx) => ( 58 | 59 | ))} 60 |
61 |
62 |
63 | ); 64 | } 65 | -------------------------------------------------------------------------------- /website/src/components/HomepageFeatures/styles.module.css: -------------------------------------------------------------------------------- 1 | .features { 2 | display: flex; 3 | align-items: center; 4 | padding: 2rem 0; 5 | width: 100%; 6 | } 7 | 8 | .featureSvg { 9 | height: 200px; 10 | width: 200px; 11 | } 12 | -------------------------------------------------------------------------------- /website/src/css/custom.css: -------------------------------------------------------------------------------- 1 | /** 2 | * Any CSS included here will be global. The classic template 3 | * bundles Infima by default. Infima is a CSS framework designed to 4 | * work well for content-centric websites. 5 | */ 6 | 7 | /* You can override the default Infima variables here. */ 8 | :root { 9 | --ifm-color-primary: #2e8555; 10 | --ifm-color-primary-dark: #29784c; 11 | --ifm-color-primary-darker: #277148; 12 | --ifm-color-primary-darkest: #205d3b; 13 | --ifm-color-primary-light: #33925d; 14 | --ifm-color-primary-lighter: #359962; 15 | --ifm-color-primary-lightest: #3cad6e; 16 | --ifm-code-font-size: 95%; 17 | --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.1); 18 | } 19 | 20 | /* For readability concerns, you should choose a lighter palette in dark mode. */ 21 | [data-theme='dark'] { 22 | --ifm-color-primary: #25c2a0; 23 | --ifm-color-primary-dark: #21af90; 24 | --ifm-color-primary-darker: #1fa588; 25 | --ifm-color-primary-darkest: #1a8870; 26 | --ifm-color-primary-light: #29d5b0; 27 | --ifm-color-primary-lighter: #32d8b4; 28 | --ifm-color-primary-lightest: #4fddbf; 29 | --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.3); 30 | } 31 | 32 | .hidden { 33 | display: none !important; 34 | } 35 | 36 | -------------------------------------------------------------------------------- /website/src/pages/index.module.css: -------------------------------------------------------------------------------- 1 | /** 2 | * CSS files with the .module.css suffix will be treated as CSS modules 3 | * and scoped locally. 4 | */ 5 | 6 | .heroBanner { 7 | padding: 4rem 0; 8 | text-align: center; 9 | position: relative; 10 | overflow: hidden; 11 | } 12 | 13 | @media screen and (max-width: 996px) { 14 | .heroBanner { 15 | padding: 2rem; 16 | } 17 | } 18 | 19 | .buttons { 20 | display: flex; 21 | align-items: center; 22 | justify-content: center; 23 | } 24 | -------------------------------------------------------------------------------- /website/src/pages/markdown-page.md: -------------------------------------------------------------------------------- 1 | --- 2 | title: Markdown page example 3 | --- 4 | 5 | # Markdown page example 6 | 7 | You don't need React to write simple standalone pages. 8 | -------------------------------------------------------------------------------- /website/static/.nojekyll: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/filip-michalsky/SalesGPT/7cd1d4f9fae2a5610fac76e1c0edc38a2fafd388/website/static/.nojekyll -------------------------------------------------------------------------------- /website/static/img/Gmail.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/filip-michalsky/SalesGPT/7cd1d4f9fae2a5610fac76e1c0edc38a2fafd388/website/static/img/Gmail.png -------------------------------------------------------------------------------- /website/static/img/bad_1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/filip-michalsky/SalesGPT/7cd1d4f9fae2a5610fac76e1c0edc38a2fafd388/website/static/img/bad_1.png -------------------------------------------------------------------------------- /website/static/img/bad_2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/filip-michalsky/SalesGPT/7cd1d4f9fae2a5610fac76e1c0edc38a2fafd388/website/static/img/bad_2.png -------------------------------------------------------------------------------- /website/static/img/correct.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/filip-michalsky/SalesGPT/7cd1d4f9fae2a5610fac76e1c0edc38a2fafd388/website/static/img/correct.png -------------------------------------------------------------------------------- /website/static/img/docusaurus-social-card.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/filip-michalsky/SalesGPT/7cd1d4f9fae2a5610fac76e1c0edc38a2fafd388/website/static/img/docusaurus-social-card.jpg -------------------------------------------------------------------------------- /website/static/img/docusaurus.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/filip-michalsky/SalesGPT/7cd1d4f9fae2a5610fac76e1c0edc38a2fafd388/website/static/img/docusaurus.png -------------------------------------------------------------------------------- /website/static/img/favicon.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/filip-michalsky/SalesGPT/7cd1d4f9fae2a5610fac76e1c0edc38a2fafd388/website/static/img/favicon.ico -------------------------------------------------------------------------------- /website/static/img/insta.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/filip-michalsky/SalesGPT/7cd1d4f9fae2a5610fac76e1c0edc38a2fafd388/website/static/img/insta.ico -------------------------------------------------------------------------------- /website/static/img/mcdonalds.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/filip-michalsky/SalesGPT/7cd1d4f9fae2a5610fac76e1c0edc38a2fafd388/website/static/img/mcdonalds.png -------------------------------------------------------------------------------- /website/static/img/new_products.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/filip-michalsky/SalesGPT/7cd1d4f9fae2a5610fac76e1c0edc38a2fafd388/website/static/img/new_products.png -------------------------------------------------------------------------------- /website/static/img/robot_mascot.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/filip-michalsky/SalesGPT/7cd1d4f9fae2a5610fac76e1c0edc38a2fafd388/website/static/img/robot_mascot.ico -------------------------------------------------------------------------------- /website/static/img/sgpt_fav.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/filip-michalsky/SalesGPT/7cd1d4f9fae2a5610fac76e1c0edc38a2fafd388/website/static/img/sgpt_fav.ico --------------------------------------------------------------------------------