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Hi, I want to report that plugit change material not working in v1.96 beta1
I tested AI chat using GPT models on v1.96 beta1.
Some GPT models work but the response is too slow and the answers are incomplete.
Some GPT models don't work at all.
In v1.95, Gemini model works better than GPT model.
The answer given by Gemini is faster and not truncated and always smooth.
The answer given by GPT is too slow and sometimes the answer does not come out.
Open Responses https://www.openresponses.org/ may be needed to provide a unified API interface across AI providers. ![]()
https://www.youtube.com/watch?v=b-BzeHF6WLA https://huggingface.co/blog/open-responses
Responses API has not yet been implemented in the OpenAI compatible endpoint for Gemini. ![]()
Yes, it works on v1.95
I've tried but it has no response. ![]()
Cool. Hope it works perfectly. ![]()
Better to include Gemini AI as well. Gemini is on the rise. ![]()
Hi...
For AI, can we use the free Gemini API key for RAG? What about embedding model? ![]()
Cuba lihat di sini https://ai.google.dev/gemini-api/docs/pricing#standard
Gemini 3.1 Flash-Lite
Usage Limits (Rate Limits)Requests (RPM): 15 requests per minute.
Daily Quota (RPD): 1,500 requests per day.
Tokens (TPM): 1,000,000 tokens per minute.
Input Capacity: Maximum 1,048,576 tokens (can process long documents or code).
Let's download & try the latest version!
1.95 is live! Great work! ![]()
Let's download!!
![]()
Let's download now!
I think in the custom interface plugit there is an option to create a new interface or default chat interface that has been created so that all users don't have to create it repeatedly but users can still add other elements they want.
Awesome.. thank you!
I hope Malay language can be added later.
I think we need a new chat GUI for phone. please look at the image below.
https://drive.google.com/file/d/1WTnwSF … drive_link
Then, Is it possible to use this TTS and STT in openspace3d?
https://huggingface.co/collections/meso … 4c6673ed13
https://huggingface.co/collections/meso … 44f0cfae79
Just for information.
This type of AI Agent is a RAG Agent (Retrieval-Augmented Generation Agent).
An AI agent that uses stored documents (retrieval) as a data source to answer questions in a limited and controlled manner, and does not rely on the general knowledge of the model.
I forgot to inform you.
Chatgpt ask to make sure:
You don't allow ChatGPT to "hallucinate" or fabricate facts
Use specific prompts such as:
“Answer this question based only on the attached document. If there is no information in the document, answer: ‘There is no information in the document to answer this question.’”
Awesome... hope you create os3d demo file or template.
want to know how to link the plugit.
I just want to make a simple AI agent app. I prepare a document then AI analyzes the file. So, the end user can just ask questions and AI just answers based on the document.
Chatgpt suggest like below.
Self-Hosted Lightweight AI Agent with Open-Source Tools + OpenAI API Minimum Use
? Focus:
-Documents uploaded & provided by you (developer)
-AI answers based only on documents
-Minimize API calls (save costs)
-Use free/open-source tools as much as possible
?️ CHEAP OPTIONS: SAVING TECHNOLOGY COMBINATION
Cheap / Free Optional Components
Vector Search ? ChromaDB (local) or FAISS
Backend ? Flask (Python) or FastAPI
AI Model ? OpenAI gpt-3.5-turbo (cheap + power)
Mobile App ? Flutter or React Native
Document Hosting ? Store on your own server (or free Firebase)
Embedding ? OpenAI Embedding API (text-embedding-3-small) – very cheap
? HOW IT WORKS (Simple + Save)
Step 1: Prepare Developer Documents
Save all your content (articles, notes, textbooks) in .txt or .md
Split into topic/chapter
Step 2: Embedding Once
Use text-embedding-3-small (OpenAI)
Save in ChromaDB (local vector db)
? Embedding is cheap and only needs to be done ONCE — not every time a user asks
Step 3: When a User Asks a Question
Find the most relevant content snippet from vector DB (top-k = 3)
Recombine as prompt + question
Send to gpt-3.5-turbo
Step 4: Answers sent to app
? ESTIMATED COST (MONTHLY)
Cost Items
Embedding (100k tokens) ± $0.01
GPT-3.5 API (1,000 answers) ± $1.50 – $3
Hosting + VectorDB (local) $0 (if self-hosted)
Firebase / Render (backend) $0 – $5 (free tier available)
If you have done it, please tell us here. Thank you
Thank you so much.
Is it possible to upload document then chatgpt will respond based on the document/topic?
Thank you... about AI or chatgpt, is there any template or demo to create AI agent app?
Hi Arkeon, I get this error while exporting app bundle (java). maybe missing file. take a look this link
https://drive.google.com/file/d/1k1YUf8 … drive_link
Awesome!! Download now.