Google Cloud Dialogflow ES Make integrationAutomate Google Cloud Dialogflow ES with Make.

Opens a new context inside a conversation session, so the agent remembers what the user just talked about and steers the next turn toward the right intents.

Sets up a brand new Dialogflow agent in a Google Cloud project from a scenario, which saves clicking through the console when you spin up agents for several brands or clients.

Adds a new entity type to your agent, the category Dialogflow uses to recognize values like product names or cities in what users type.

Writes a new intent into the agent, which lets the people who know your customers draft questions in a sheet and have Make push them into Dialogflow.

Adds several entities at once to an existing entity type, the fastest way to teach the agent a full catalog of values in a single operation.

Removes one context from a session, so the agent stops interpreting new messages through a topic the user has already closed.

Removes an agent from its Google Cloud project, which helps you clean up test or retired agents as part of an offboarding scenario.

Removes a whole entity type from the agent, so a category of values you no longer sell or support stops being extracted from user phrases.

Removes an intent from the agent, and its followup intents go with it, which keeps outdated answers from surfacing in conversations.

Removes several entities from an entity type in one go, handy when your list of values shrinks and the agent should stop recognizing old names.

Sends a sentence in natural language to your agent and returns the intent it matches, which turns Dialogflow into a classifier for any text flowing through Make.

Reads the details of one context in a session, so your scenario knows what the agent currently holds about the conversation before choosing a reply.

Fetches the settings of one agent in a project, useful as a snapshot to log or compare before a scenario changes anything on it.

Returns the details of one entity type, so a scenario can read which values the agent already knows before adding or removing any.

Pulls the full details of one intent, which lets you audit or copy its content into a document where non technical colleagues can review it.

Calls any endpoint of the Dialogflow API with the connection you already set up, the way out when none of the listed modules covers what you need.

Sends the answer your scenario built back to the agent, which then says it to the user as if it came from Dialogflow itself.

Changes an existing context in a session, so the agent keeps the conversation on track when the user corrects something they said earlier.

Edits the settings of an existing agent from a scenario, which keeps several agents aligned without repeating the same clicks in each console project.

Modifies an entity type that already exists, so the category stays in step with how your business names things without rebuilding it.

Rewrites an intent already in the agent, which lets the team refine phrases or answers from a sheet and see the agent pick them up.

Returns every context active in a session, one bundle each, so a scenario can see at a glance where the conversation stands.

Returns all the entities of one entity type, which gives you the full list of values the agent recognizes to compare against your source of truth.

Lists every entity type defined in the agent, the starting point when a scenario must find the right category before touching its values.

Returns all intents of the agent, one bundle per intent, a quick way to export the agent or check whether a question is already covered.