Go
Go
Prove Stateful Multi-Turn Conversation
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This example is to prove that the 2nd request in a conversation is part of a stateful multi-turn conversation. The 2nd request asks for information provided in the 1st request.Chilkat Go Downloads
success := false
// This example assumes the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
ai := chilkat.NewAi()
// The provider can be "openai", "google", "claude", "deepseek", "xai", or "perplexity".
// Support for additional providers will be added in future versions of Chilkat.
ai.SetProvider("google")
// Use your provider's API key.
ai.SetApiKey("MY_API_KEY")
// Choose a model.
ai.SetModel("gemini-2.5-flash")
// Create a new conversation to be maintained locally in memory.
// If the conversation is the first to be created, it is also automatically selected.
systemMsg := "You are a helpful assistant"
developerMsg := ""
conversationName := "test_conversation"
ai.NewConvo(conversationName,systemMsg,developerMsg)
// -------------------------------------------------------------------------------------------
// Our first request will establish a secret that we'll ask for in the 2nd request.
// Add a text input.
ai.InputAddText("Please remember this: The word I'll ask for later is BlubberFish. What's the word?")
// Ask the AI for text output.
success = ai.Ask("text")
if success == false {
fmt.Println(ai.LastErrorText())
ai.DisposeAi()
return
}
// Note: The inputs accumulated through one or more calls to Input* methods are cleared when the Ask method returns with success.
// Get the text response.
sbResponse := chilkat.NewStringBuilder()
ai.GetOutputTextSb(sbResponse)
fmt.Println(*sbResponse.GetAsString())
fmt.Println("----")
// Sample output:
// The word is **BlubberFish**.
// -------------------------------------------------------------------------------------------
// Let's ask for the word. If this is a stateful conversation, the AI should respond correctly.
ai.InputAddText("OK, I'm going to ask you again, what's the word?")
success = ai.Ask("text")
if success == false {
fmt.Println(ai.LastErrorText())
ai.DisposeAi()
sbResponse.DisposeStringBuilder()
return
}
// Get the text response.
sbResponse.Clear()
ai.GetOutputTextSb(sbResponse)
fmt.Println(*sbResponse.GetAsString())
// Sample output:
// The word is **BlubberFish**.
// -------------------------------------------------------------------------------------------
// Look at the conversation so far...
//
json := chilkat.NewJsonObject()
ai.ExportConvo(conversationName,json)
json.SetEmitCompact(false)
fmt.Println(*json.Emit())
// Note: The conversation transcript format exported and imported by Chilkat is always the OpenAI format,
// regardless of the AI provider. (Chilkat translates the format from OpenAI to whatever is needed by the actual AI provider being used.)
// {
// "input": [
// {
// "role": "system",
// "content": [
// {
// "type": "input_text",
// "text": "You are a helpful assistant"
// }
// ]
// },
// {
// "role": "user",
// "content": [
// {
// "type": "input_text",
// "text": "Please remember this: The word I'll ask for later is BlubberFish. What's the word?"
// }
// ]
// },
// {
// "role": "assistant",
// "content": [
// {
// "type": "output_text",
// "text": "The word is **BlubberFish**."
// }
// ]
// },
// {
// "role": "user",
// "content": [
// {
// "type": "input_text",
// "text": "OK, I'm going to ask you again, what's the word?"
// }
// ]
// },
// {
// "role": "assistant",
// "content": [
// {
// "type": "output_text",
// "text": "The word is **BlubberFish**."
// }
// ]
// }
// ]
// }
// -------------------------------------------------------------------------------------------
// If we unselect the conversation, so that no conversation is selected,
// then the same query results in the AI not knowing the word.
ai.SetSelectedConvo("")
ai.InputAddText("OK, I'm going to ask you again, what's the word?")
success = ai.Ask("text")
if success == false {
fmt.Println(ai.LastErrorText())
ai.DisposeAi()
sbResponse.DisposeStringBuilder()
json.DisposeJsonObject()
return
}
// Get the text response.
sbResponse.Clear()
ai.GetOutputTextSb(sbResponse)
fmt.Println(*sbResponse.GetAsString())
// Sample output:
// I apologize, but I don't have the context of our previous interaction or what "the word" you're referring to might be.
// Could you please remind me or provide the clue again? I'm ready to help you figure it out!
ai.DisposeAi()
sbResponse.DisposeStringBuilder()
json.DisposeJsonObject()