Dialogflow Fulfillment Library provides a structured way to connect your Dialogflow agent to custom backend logic via webhooks. It offers built-in response builders for cards, suggestion chips, quick replies, and payloads, as well as context management and parameter extraction. Developers can define intent handlers in a concise map, leverage middleware for preprocessing, and integrate with Actions on Google for voice applications. Deployment to Google Cloud Functions is straightforward, ensuring scalable, secure, and maintainable conversational services.

The Dialogflow Fulfillment Python Library is an open-source framework that handles HTTP requests from Dialogflow, maps intents to Python handler functions, manages session and output contexts, and builds structured responses including text, cards, suggestion chips, and custom payloads. It abstracts the JSON structure of Dialogflow’s webhook API into convenient Python classes and methods, accelerating the creation of conversational backends and reducing boilerplate code when integrating with databases, CRM systems, or external APIs.