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@StephenHodgson StephenHodgson commented Nov 14, 2025 •
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  • Optimize image texture loading
  • Allow setting output_text for messages from Role.Assistant

StephenHodgson and others added 5 commits November 14, 2025 18:24
@StephenHodgson
com.openai.unity 8.8.8
2d13609 
- Optimize image texture loading
@StephenHodgson
cleanup
78d7632
@StephenHodgson
fix tests
10e6a06
@StephenHodgson
more cleanup
c1b20db
@TypeDefinition @StephenHodgson
Add support for adding assistant messages on user side (#437)
49c7020 
Use case: In games, we often want a mixture of both AI generated
content, as well as pre-scripted content. This change allows us to
insert Assistant messages into a Response conversation, and to let the
AI continue the conversation.

Example:
```C#
using OpenAI;
using OpenAI.Responses;
using System;
using System.Collections.Generic;
using UnityEngine;

public class ConversationExample : MonoBehaviour {
    private OpenAIClient api = null;
    private List<IResponseItem> conversation = new List<IResponseItem>();

    private void Start() {
        api = new OpenAIClient(GetOpenAIAuthentication()) { EnableDebug = true };

        // Example use case: We want to insert fake AI messages into the conversation, and let the AI continue the conversation afterwards.
        // For example, the player just entered a certain area of a game level, and meets this NPC for the first time.
        conversation.Add(new Message(Role.Assistant, "Welcome to the Krusty Krab. My name is Squidward, how can I help you?"));

        // User continues the conversation after being prompted.
        conversation.Add(new Message(Role.User, "What's your favourite musical instrument?"));

        // Now we want the AI to continue the conversation.
        GetResponse();
    }

    private void Update() { }

    private async void GetResponse() {
        try {
            // Request a response from OpenAI.
            CreateResponseRequest request = new CreateResponseRequest(input: conversation, model: OpenAI.Models.Model.GPT5);
            OpenAI.Responses.Response response = await api.ResponsesEndpoint.CreateModelResponseAsync(request, cancellationToken: destroyCancellationToken);

            // Get response from OpenAI.
            for (int i = 0; i < response.Output.Count; ++i) {
                IResponseItem responseItem = response.Output[i];
                switch (responseItem) {
                    case OpenAI.Responses.Message message:
                        conversation.Add(message);
                        Debug.Log("AI Response: " + message.ToString());
                        break;
                    default: break;
                }
            }
        } catch (Exception e) {
            Debug.Log(e);
        }
    }

    private OpenAIAuthentication GetOpenAIAuthentication() {
        string apiKey = "Your API Key";
        string orgKey = "Your Organisation Key";
        string projKey = "Your Project Key";
        return new OpenAIAuthentication(apiKey, orgKey, projKey);
    }
}
```

AI Response:
<img width="1081" height="50" alt="image"
src="https://github.com/user-attachments/assets/e08e77b3-80b9-48b6-99b7-8ec29ac4d1f0"
/>

---------

Co-authored-by: Stephen Hodgson <rage.against.the.pixel@gmail.com>
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@StephenHodgson @TypeDefinition