Flowise OpenAI function calling

with open AI function calling we can provide chat GPT with current and up-to-date information like the go location of the IP address or the current weather forecast when you chat directly with chatgpt and ask about is knowledge cut off date you get the following answer please note that my knowledge cutoff is in September 2021 so I may not have information on events or developments that have occurred after that time to overcome this limitation we can use open AIS function calling to provide chat GPT with current data we write our own functions and let share GPT use them to fetch fresh API data so let's Dive In for this example we only need to install flowwise install flow wise with npm install G flowwise if you have already installed flowwise upgrade it to the latest version when we start flow wise it runs on Port 3000. so we navigate to the localhost port 3000 here when you go to the marketplace you see some chat flows and you will notice a new tools tab feel free to explore some tools and how they are implemented a custom tool requires a name and a description and optionally an icon the output Shimmer can be empty or contain one or more parameters in the last box we put our JavaScript function which can be a standalone function or can fetch data from other apis when we check some other tools like the send Discord message we see that it has a property called content which is required this parameter is used in the JavaScript function with a dollar sign in front in that way we can inform chat GPT which arguments our function needs to operate back to Marketplace we go to chat flows to jumpstart our flow we use openai agent this is an agent that uses open AIS function calling to pick the right tool in our case our Custom Tool after selecting the openai agent we click use template to start creating our flow first we remove the provided default tools to make space for our own custom tools and do some adjustments and positioning after everything is in place we search for Custom Tool and drag and drop two custom tools to the canvas want to get the location of an IP address and one for getting the weather in a location we do some adjustments to fit all of the components on the right place on our canvas after everything is in right position we are ready to implement our first Custom Tool this tool is for obtaining the current allocation of an IP address we give it a name like get IP address geo location and a description like this function gets an IP address and Returns the country and city and longitude and latitude and other geo location information about that IP address this information can change over time so we must extend chart gpt's functionality by providing a function to fetch the current location of an IP address to implement the function we visit rapid API rapid API provides many apis in different categories like sport translation weather stock data flight data Gale location and so on we can choose a category and even search for free or popular apis to connect our flows to YouTube Tick Tock and other services when you choose an API you can subscribe to test it with the basic plan you get enough API cores per month to test the API for our case we simply need an API to give back the location of an IP address so we search for free koip and select it I have already signed up for this API so we can test the endpoint it has one required parameter which is the IP address here we use Json and give the ip8.8.8.8 and test the endpoint the result includes country code and city and latitude and longitude and other information so it simply does the job to integrate the API in our code we go to code snippet here we can choose between many languages and sometimes different approaches we are using flow wise so we use node.js and choose Fetch and copy the code back-end flow wise we paste the code into the JavaScript function box but we need to make some adjustments first we need to configure the required parameter IP which we Define in the output schema it can be of type string and we gave it a description like IP address like 8.8.8.8 and Define it as a required parameter to use the parameter in our script we have to reference it as dollar sign IP so we remove the hard-coded IP and add our parameter dollar sign IP to the URL string with a plus sign we are not done yet we need to return the result of the API so to show that we have used the function we add a command line with IP function as information the final script with the changes can be accessed on a GitHub gist the link is below finally we click add to close the pop-up next we want a tool that gives us the weather of a location we choose the name get the current weather of a location and add the description this function Returns the current weather information of a location given by latitude and longitude although we can use Rapid API this time we use the sample provided by flowwise and click on see examples here we need two parameters latitude and longitude a string as we add them to the URL and both are required first we add latitude as a string and the description latitude of the location and we Define it as a required parameter next we do the same with longitude we add it as a parameter we type string and a description longitude of the location and Define it again as required next we modify the hard-coded URL and add our parameters proceeding with the dollar sign in the URL so we cut the string and add our parameters with plus sign to create a new URL string with Dynamic parameters we add optionally a command line with the weather function as information to see in the log files when this function is called and finally add it you can edit anytime a tool again and for example we can edit a better function tool and add a cancel log with the result of the API call for better debugging the final script is provided again in a GitHub gist and the link is below we save our changes and add our openai API key check to use GPT 3.5 turbo 0613 and lower the temperature to be more deterministic notice we have buffer memory but it doesn't need any configuration finally we connect the dots and save our flow and give it a name like flowwise open AI function calling now it's time to test our application before that we can use a DNS lookup to see where the nearest server of Wikipedia org is depending on your location you may get a different IP we are located in Germany so we get back this IP let's see where this IP is located so we open the chat box and ask charge GPT where is the location of the IP address 91198174192 and we get a well formatted user-friendly message back with the information that is located in Amsterdam Netherlands as we use the buffer memory we can refer to the location as there and ask again what's the weather like there this time a weather function is called and we get our answer with the current weather information in Amsterdam finally we ask a question that doesn't require any of our custom functions like does the general data protection regulation gdpr directly applied to this location sure enough we get a positive answer as it is located in the au but this time chargpt did not use any of our functions we can check it in the terminal it has used one-time rip function and one time our weather function but for the gdpr question chat GDP did not use any of our functions and could answer the question directly to wrap it up it is very important to use function calling either directly in code or in no code tools like flowwise for using AI in businesses you need to rely on your information and try to minimize the hallucination of the llms so whenever possible use your own functions and gain control over the data good luck

Channel: business24_ai

Views: 7,208

Keywords: flowise, openai function calling, Flowise OpenAI Agent, Flowise OpenAI Function Call

Id: HSp9LkkTVY0

Length: 10min 48sec (648 seconds)

Published: Sat Jul 15 2023