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The External APIs tab lets you extend your chatbot’s abilities by connecting it to external services. With these integrations, your bot can go beyond its built-in knowledge - fetching real-time data, sending information, or interacting directly with your applications.

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Key Settings

  • API Name
    A simple label to identify the API connection.
  • Endpoint
    The specific URL (web address) where the chatbot sends requests.
  • Pre Call Message
    This optional text field allows you to define a message or response the chatbot should say before making the API call.
    It’s useful for creating a natural conversational transition - for example:
    “Sure, let me check that for you…” before fetching live data from the API.
  • Description
    A short explanation of what the API does and when the chatbot should use it.
    (e.g., Weather API → fetches current weather conditions based on city input).
  • Method
    Defines how the chatbot communicates with the API:
    • GET → Retrieve information. Variables are added as Query Parameters at the end of the URL.
    • POST → Send information. Variables are included in the request body as JSON.
  • Auth Token
    A secure key that verifies your chatbot’s access rights to the API.
    • You do not need to add Bearer manually - ChatzyAI adds it automatically.
    • This ensures secure and authorized API requests.
    Example:
    If your token is xyz123, ChatzyAI will send it as:
  • Variables
    Dynamic inputs for API calls. Their placement depends on the selected Method.
    • With GET → variables are passed as query parameters.
    • With POST → variables are passed in the request body.
    Each variable includes:
    • Name → Identifier (e.g., city).
    • Type → Data type (e.g., string).
    • Description → Role of the variable.
    • Example → Sample value showing usage.
    Example:
GET Example API setup:
  • Endpoint → https://api.example.com/weather
  • Variable → city = Pune

Then the GET call will look like:
Post Example API setup:
  • Endpoint → https://api.example.com/lead
  • Variables → name = John, email = [email protected]
  • Auth Token → xyz123
The chatbot request will look like:
To call your API, you must include it as an instruction in the prompt with a clear use case.
Example: “Use the get_weather_by_city function to fetch weather data.”