Responses api improvements

openai-responses-gpt5-functions-streaming-multi-modal-reasoning-super-advanced/ReadME.md

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+# Chainlit + OpenAI Responses Demo (Multimodal • Reasoning • Streaming • Functions)
+
+A lean Chainlit app that wires the **OpenAI Responses API** to a real **local Python executor** with **multimodal I/O (text, images, files)**, **reasoning traces**, **token+function streaming**, and **tool functions** (web search preview, image generation, Python runner, file ops, optional file-search).   
+
+---
+
+## Features (at a glance)
+
+* **Multimodal input**: accepts text, images, and file uploads in one message. 
+* **Multimodal output**: previews **images** inline and **CSV DataFrames** (with a download link) or falls back to readable text.  
+* **Reasoning**: configurable effort + **streamed reasoning summary** you can show in the UI when available.  
+* **Streaming**: assistant text streams token-by-token; **function call metadata & arguments stream** too, so you can live-render generated Python code.   
+* **Functions / Tools**: registered tools include `execute_python_code`, `upload_file_to_workspace`, `list_workspace_files`, simple calculator, **web\_search\_preview**, **image\_generation**, and optional **file\_search** when a vector store is present.   
+* **Per-chat workspace**: each chat gets its own `.files/{session_id}/pyws` folder; Python runs there and files persist for the chat’s lifetime. 
+* **Nice UX**: progress steps for web search, image gen, and Python runs; optional full conversation/“reasoning summary” panels.  
+
+---
+
+## What’s in the repo
+
+* **`app.py`** — Chainlit lifecycle, dev-prompt injection on first turn, vector-store hookup on upload, Responses **streaming loop** (text + function args), live “Python Code Being Generated” pane, and a multi-iteration tool loop.     
+* **`tools.py`** — Tool registry and implementations:
+
+  * `execute_python_code` (**persistent workspace**, returns stdout/stderr + collected files). 
+  * `upload_file_to_workspace` / `list_workspace_files` helpers. 
+  * File renderer that shows **images inline**, **CSV as DataFrame**, and **text previews** with download buttons.   
+
+---
+
+## Quick start
+
+```bash
+python -m venv .venv && source .venv/bin/activate         # Windows: .venv\Scripts\activate
+pip install chainlit openai pandas matplotlib
+export OPENAI_API_KEY=sk-...                               # Windows PowerShell: $env:OPENAI_API_KEY="sk-..."
+chainlit run app.py -w
+```
+
+Open [http://localhost:8000](http://localhost:8000).
+
+---
+
+## How it works
+
+1. **Dev prompt + settings**
+   First turn injects your developer instructions; reasoning effort and summary are toggled in settings.  
+
+2. **Multimodal in**
+   You can send text, images, and files together; non-image files are converted to **function calls** to place them in the workspace.  
+
+3. **Streaming loop**
+   The app calls `responses.create(stream=True)` and processes an event stream:
+
+   * assistant text tokens,
+   * function call *creation* events,
+   * **function argument deltas** (used to live-render code for `execute_python_code`).   
+
+4. **Tool execution**
+   Detected calls are executed, then their outputs are returned via `function_call_output` and the loop continues until the model is done. 
+
+5. **Results rendering**
+   Python runs can emit images/CSVs/text; these are previewed inline and attached as downloads.  
+
+6. **Optional RAG**
+   If you upload docs at start, the app creates a vector store and enables the **file\_search** tool for the model.  
+
+---
+
+## Configuration
+
+* **Model**: change the model in `_ask_gpt`. 
+* **Reasoning**: set effort, enable summary. 
+* **Workspace**: path = `.files/{session_id}/pyws`; auto-cleaned on chat end.  
+* **Tools**: edit `build_tools(...)` to add/remove tools; file-search is gated on vector store presence.  
+
+---
+
+## Troubleshooting
+
+* **No code preview while functions run** → ensure you’re calling Responses with `stream=True` and watch for `function_call_arguments.delta` events.  
+* **CSV not rendering as a table** → pandas must be importable; otherwise it falls back to a text preview.  
+* **Files didn’t persist** → they persist for the chat; cleanup runs on `@cl.on_chat_end`. 
+
+---
+
+## Security
+
+Python executes **locally** inside the per-chat workspace. Treat generated code as untrusted; time limits are applied in the executor and files are confined to that directory. (See the Python tool descriptions and file-handling utilities.)  
+
+---
+
+## File map
+
+* `app.py` — chat lifecycle, dev prompt, vector store & **file\_search**, event-driven streaming, multi-iteration function loop, code preview.   
+* `tools.py` — tool registry, Python executor, upload/list helpers, image/CSV/text previewers, progress + reasoning summary steps.   
+
+Add a license (MIT recommended) and you’re set.