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Status](https://readthedocs.org/projects/intents/badge/?version=latest)](https://intents.readthedocs.io/en/latest/?badge=latest)\n[![codecov](https://codecov.io/gh/dariowho/intents/branch/master/graph/badge.svg?token=XAVLW70J8S)](https://codecov.io/gh/dariowho/intents)\n[![HEAD version](https://img.shields.io/badge/head-v0.3.0-blue.svg)](https://img.shields.io/badge/head-v0.3.0-blue.svg)\n[![PyPI version](https://badge.fury.io/py/intents.svg)](https://badge.fury.io/py/intents)\n\n**Intents** is a Python framework to define and operate\nConversational Agents with a simple, code-first approach. *Intents* comes with\nbuilt-in support for Dialogflow ES and experimental Alexa and Snips connectors. Its main benefits are:\n\n* **Agents are Python projects**. You will develop with autocomplete, static type checking\n  and everything you are already used to.\n* **Versioning and CI**. Agents can be versioned on Git, and programmatically\n  deployed just like software.\n* **Human-friendly Connectors**. Intents are classes, predictions are their\n  instances. Support can be extended beyond Dialogflow by implementing custom connectors.\n\nA detailed view of the available features can be found in\n[STATUS.md](STATUS.md). Also, check out the\n[Projects](https://github.com/dariowho/intents/projects) page to keep track of\nrecent developments.\n\n## Install\n\n```sh\npip install intents\n```\n\n## Usage\n\nIntents are defined like standard Python **dataclasses**:\n\n```python\n@dataclass\nclass HelloIntent(Intent):\n    \"\"\"A little docstring for my Intent class\"\"\"\n    user_name: Sys.Person = \"Guido\"\nMyAgent.register(HelloIntent)\n```\n\nTheir **language** resources are stored in separate YAML files:\n\n```yaml\nutterances:\n  - Hi! My name is $user_name{Guido}\n  - Hello there, I'm $user_name{Mario}\n\nresponses:\n  default:\n    - text:\n      - Hi $user_name\n      - Hello $user_name, this is Bot!\n```\n\nAgents can be **uploaded** as Dialogflow ES projects directly from code:\n\n```python\ndf = DialogflowEsConnector('/path/to/service-account.json', MyAgent)\ndf.upload()  # You will find it in your Dialogflow Console\n```\n\n*Intents* will act transparently as a **prediction** client:\n\n```python\npredicted = df.predict(\"Hi there, my name is Mario\")\npredicted.intent            # HelloIntent(user_name=\"Mario\")\npredicted.intent.user_name  # \"Mario\"\npredicted.fulfillment_text  # \"Hello Mario, this is Bot!\"\n```\n\nFor a complete working example, check out the included [Example Agent](example_agent/). Also, *Intents* **documentation** is published at https://intents.readthedocs.io/ 📚\n\n## Disclaimer\n\n*This project is not affiliated, associated, authorized, endorsed by, or in any way officially connected with Dialogflow. The names Dialogflow, Google, as well as related names, marks, emblems and images are registered trademarks of their respective owners.*\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdariowho%2Fintents","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdariowho%2Fintents","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdariowho%2Fintents/lists"}