Rust Requires Chilkat v11.2.0+
Rust
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 Rust Downloads
// This example assumes the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
let ai = chilkat::Ai::new();
// The provider can be "openai", "google", "claude", "deepseek", "xai", or "perplexity".
// Support for additional providers will be added in future versions of Chilkat.
ai.set_provider("google");
// Use your provider's API key.
ai.set_api_key("MY_API_KEY");
// Choose a model.
ai.set_model("gemini-3.6-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.
let system_msg = "You are a helpful assistant".to_string();
let developer_msg = String::new();
let conversation_name = "test_conversation".to_string();
let _ = ai.new_convo(&conversation_name, &system_msg, &developer_msg);
// -------------------------------------------------------------------------------------------
// Our first request will establish a secret that we'll ask for in the 2nd request.
// Add a text input.
let _ = ai.input_add_text("Please remember this: The word I'll ask for later is BlubberFish. What's the word?");
// Ask the AI for text output.
if ai.ask("text").is_err() {
println!("{}", ai.last_error_text());
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.
let sb_response = chilkat::StringBuilder::new();
let _ = ai.get_output_text_sb(&sb_response);
println!("{}", sb_response.get_as_string().unwrap_or_default());
println!("----");
// Sample output:
// The word is **BlubberFish**.
// -------------------------------------------------------------------------------------------
// Let's ask for the word. If this is a stateful conversation, the AI should respond correctly.
let _ = ai.input_add_text("OK, I'm going to ask you again, what's the word?");
if ai.ask("text").is_err() {
println!("{}", ai.last_error_text());
return;
}
// Get the text response.
sb_response.clear();
let _ = ai.get_output_text_sb(&sb_response);
println!("{}", sb_response.get_as_string().unwrap_or_default());
// Sample output:
// The word is **BlubberFish**.
// -------------------------------------------------------------------------------------------
// Look at the conversation so far...
//
let json = chilkat::JsonObject::new();
let _ = ai.export_convo(&conversation_name, &json);
json.set_emit_compact(false);
println!("{}", json.emit().unwrap_or_default());
// 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.set_selected_convo("");
let _ = ai.input_add_text("OK, I'm going to ask you again, what's the word?");
if ai.ask("text").is_err() {
println!("{}", ai.last_error_text());
return;
}
// Get the text response.
sb_response.clear();
let _ = ai.get_output_text_sb(&sb_response);
println!("{}", sb_response.get_as_string().unwrap_or_default());
// 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!