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(Ruby) Streaming AI with Manual AI Tool Function CallingSee more AI ExamplesDemonstrates how to get AI responses in streaming mode, including manual tool function calls.Note: This example requires Chilkat v11.4.0 or greater. For more information, see https://www.chilkatsoft.com/ai_tool_function_caling_briefly_explained.asp
require 'chilkat' success = false # Create the following JSON to define tool functions available for the AI to use. # Note: You'll use the following JSON format regardless of the AI provider, whether # it be ChatGPT, Gemini, Claude, Grok, etc. Chilkat automatically converts to the required # format needed for a given AI provider. # In this example, the application is providing a single function the AI may choose to call. # { # "tools": [ # { # "name": "get_horoscope", # "description": "Get today's horoscope for an astrological sign.", # "parameters": { # "properties": { # "sign": { # "type": "string", # "description": "An astrological sign like Taurus or Aquarius" # } # } # } # } # ] # } jsonTools = Chilkat::CkJsonObject.new() toolIdx = 0 jsonTools.put_I(toolIdx) jsonTools.UpdateString("tools[i].name","get_horoscope") jsonTools.UpdateString("tools[i].description","Get today's horoscope for an astrological sign.") jsonTools.UpdateString("tools[i].parameters.properties.sign.type","string") jsonTools.UpdateString("tools[i].parameters.properties.sign.description","An astrological sign like Taurus or Aquarius") # More tools can be added as desired.. jsonTools.put_EmitCompact(false) print jsonTools.emit() + "\n"; ai = Chilkat::CkAi.new() # Register the tools that will be made available to the AI. ai.RegisterManualTools(jsonTools) # The provider can be "openai", "google", "claude", "grok", "mistral", "custom", etc. ai.put_Provider("openai") # Use your provider's API key. ai.put_ApiKey("MY_API_KEY") # Choose a model. ai.put_Model("gpt-5-mini") # Tool function calling must always occur within a conversation. conversation_name = "convo_astrology" sysMessage = "You are a helpful astrologer" devMessage = "Respond only with markdown." ai.NewConvo(conversation_name,sysMessage,devMessage) # Provide inputs ai.InputAddText("What is my horoscope? I am an Aquarius.") # Get the response in streaming mode. ai.put_Streaming(true) # In streaming mode, if we receive an AI event that is a request for tool use, # we'll need to make the call to the JavaScript and then continue with a followup Ask, # until the final response is received. sbEventName = Chilkat::CkStringBuilder.new() sbDelta = Chilkat::CkStringBuilder.new() sbFullResponse = Chilkat::CkStringBuilder.new() # When PollAi returns with an event, it's highly unlikely the # call to NextAiEvent does not immediately return. Setting a max # timeout is just a precaution.. maxWaitMs = 5000 jsonFn = Chilkat::CkJsonObject.new() finished = false numAsks = 0 # Set a max # of followup Asks to prevent any unexpected infinite looping. while !finished and (numAsks < 10) # Send the request to the AI model. success = ai.Ask("text") if (success == false) print ai.lastErrorText() + "\n"; exit end madeFunctionCalls = false streamingDone = false while !streamingDone result = ai.PollAi(false) if (result < 0) print ai.lastErrorText() + "\n"; print "Failed." + "\n"; exit end if (result > 0) # We have an event.. success = ai.NextAiEvent(maxWaitMs,sbEventName,sbDelta) if (success == false) print ai.lastErrorText() + "\n"; exit end # Is this an event where the AI is requesting a function call? if (sbEventName.ContentsEqual("function_call",true)) jsonFn.LoadSb(sbDelta) # Note: Chilkat will convert responses from all AI providers to this format: # { # "function_call": [ # { # "name": "get_horoscope", # "call_id": "call_RYmeysYQFocFc7Z2ofkv61dW", # "arguments": "{\"sign\":\"Aquarius\"}", # "args": { # "sign": "Aquarius" # } # } # ] # } numFnCalls = jsonFn.SizeOfArray("function_call") fn_idx = 0 while (fn_idx < numFnCalls) jsonFn.put_I(fn_idx) sbFnName = Chilkat::CkStringBuilder.new() jsonFn.StringOfSb("function_call[i].name",sbFnName) callId = jsonFn.stringOf("function_call[i].call_id") if (sbFnName.ContentsEqual("get_horoscope",true) == true) # The get_horoscope function (as defined above) has one argument named "sign". zodiac_sign = jsonFn.stringOf("function_call[i].args.sign") print "zodiac_sign = " + zodiac_sign + "\n"; # Insert application code here to call your app's get_horoscope function, passing the zodiac_sign to it.. # For this example, we'll pretend the app's get_horoscope function returned the following: applicationFnCallResult = "Aquarius: Next Tuesday you will befriend a baby otter." # Provide the tool call result as an input for the followup Ask. ai.InputAddFnResult(callId,applicationFnCallResult) madeFunctionCalls = true end # Your application would add code to check for and handle each possible function call. fn_idx = fn_idx + 1 end else if (!sbEventName.ContentsEqual("empty",true)) sbFullResponse.AppendSb(sbDelta) if (sbEventName.ContentsEqual("null_terminator",true)) streamingDone = true end end end else # No event arrived, so wait a short time rather than spin in a loop.. ai.SleepMs(100) end end if (!madeFunctionCalls) finished = true end numAsks = numAsks + 1 end print "Full Response:" + "\n"; print sbFullResponse.getAsString() + "\n"; |
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