A Streamlit application that leverages OpenAI's o3-Pro model with background processing to generate extremely long responses (up to 200k tokens context window).
This application addresses the limitation of ChatGPT Pro's ~5k token output limit by using the OpenAI API directly with o3-Pro model in background mode. Unlike the retired o1-pro (which supported ~80k tokens), this solution can handle the full 200k token context window that o3-Pro supports.
- Full Context Window: Supports up to 200k tokens input/output
- Background Processing: Uses OpenAI's background mode for long-running tasks
- Real-time Polling: Automatically polls for completion status
- Large Text Areas: Optimized UI for handling very long text inputs and outputs
- Error Handling: Comprehensive error handling for API failures
- Flexible API Key Management: Supports both environment variables and Streamlit secrets
- ChatGPT Pro: Limited to ~5k tokens output
- Retired o1-pro: Previously supported ~80k tokens (no longer available)
- Claude Opus 4: Insufficient for massive responses
- Gemini 2.5 Pro: Doesn't meet the long-response requirements
- Manus Pro: High-effort mode recently retired
- OpenAI API o3-Pro: Currently the best solution for maximum response length
- Python 3.7+
- OpenAI API key with o3-Pro access
- Streamlit
- Clone this repository:
git clone <repository-url>
cd cyclesyncai-o3-pro-background-demo- Install required dependencies:
pip install streamlit requests-
Set up your OpenAI API key using one of these methods:
Option A: Environment Variable
export OPENAI_API_KEY="your-api-key-here"
Option B: Streamlit Secrets Create
.streamlit/secrets.toml:OPENAI_API_KEY = "your-api-key-here"
- Run the Streamlit application:
streamlit run app.py-
Open your browser to the provided URL (typically
http://localhost:8501) -
Enter your prompt in the text area (supports very long inputs)
-
Click "Generate Response" to start the background task
-
The app will:
- Start a background task with OpenAI
- Display the task ID
- Poll for completion every 2 seconds
- Display the full response once completed
- Start Background Task:
POST https://api.openai.com/v1/responses - Poll Status:
GET https://api.openai.com/v1/responses/{response_id}
The application uses the following OpenAI API configuration:
- Model:
o3-pro - Background Mode: Enabled for long-running tasks
- Headers: Includes
OpenAI-Beta: backgroundfor beta feature access - Polling Interval: 2 seconds
- queued: Task is waiting to be processed
- in_progress: Model is actively generating the response
- completed: Response is ready and displayed
- error: Something went wrong (handled with error messages)
- API Costs: o3-Pro is expensive, especially for long responses
- Processing Time: Background tasks can take several minutes for complex prompts
- Rate Limits: Subject to OpenAI's API rate limits
- Beta Feature: Background mode is currently in beta
-
"API key missing!" error
- Ensure your API key is properly set via environment variable or Streamlit secrets
-
HTTP 401 Unauthorized
- Verify your API key is valid and has o3-Pro access
-
HTTP 429 Rate Limited
- You've exceeded API rate limits, wait and try again
-
Long wait times
- This is normal for complex prompts; the app will continue polling automatically
The app provides detailed error messages including:
- HTTP status codes
- API response details
- Task status information
cyclesyncai-o3-pro-background-demo/
├── app.py # Main Streamlit application
├── README.md # This file
└── .streamlit/
└── secrets.toml # API key configuration (optional)
Feel free to submit issues and enhancement requests!
- Built for users who need maximum response length from AI models
- Utilizes OpenAI's cutting-edge o3-Pro model
- Designed to overcome the limitations of web-based AI interfaces