diff --git a/README.md b/README.md
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+++ b/README.md
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-● Open Interpreter
+# Open Interpreter
-
-
- 
- 
- 
- 
- 
- 
- 
-
-
Get early access to the desktop app | Documentation
-
+A modern command line assistant.
-
+[Documentation](https://docs.openinterpreter.com/) | [Discord](https://discord.gg/Hvz9Axh84z)
-
+## Install
-
-
-
-
-```shell
-pip install open-interpreter
-```
-
-> Not working? Read our [setup guide](https://docs.openinterpreter.com/getting-started/setup).
-
-```shell
-interpreter
-```
-
-
-
-**Open Interpreter** lets LLMs run code (Python, Javascript, Shell, and more) locally. You can chat with Open Interpreter through a ChatGPT-like interface in your terminal by running `$ interpreter` after installing.
-
-This provides a natural-language interface to your computer's general-purpose capabilities:
-
-- Create and edit photos, videos, PDFs, etc.
-- Control a Chrome browser to perform research
-- Plot, clean, and analyze large datasets
-- ...etc.
-
-**⚠️ Note: You'll be asked to approve code before it's run.**
-
-
-
-## Demo
-
-https://github.com/OpenInterpreter/open-interpreter/assets/63927363/37152071-680d-4423-9af3-64836a6f7b60
-
-#### An interactive demo is also available on Google Colab:
-
-[](https://colab.research.google.com/drive/1WKmRXZgsErej2xUriKzxrEAXdxMSgWbb?usp=sharing)
-
-#### Along with an example voice interface, inspired by _Her_:
-
-[](https://colab.research.google.com/drive/1NojYGHDgxH6Y1G1oxThEBBb2AtyODBIK)
-
-## Quick Start
-
-```shell
+```bash
pip install open-interpreter
```
-### Terminal
+## Usage
-After installation, simply run `interpreter`:
-
-```shell
-interpreter
-```
-
-### Python
-
-```python
-from interpreter import interpreter
-
-interpreter.chat("Plot AAPL and META's normalized stock prices") # Executes a single command
-interpreter.chat() # Starts an interactive chat
+Start a conversation:
+```bash
+$ interpreter
+> help me set up a new fastapi project
+Creating project structure...
+Added requirements.txt, main.py, and Dockerfile
+> add a /users endpoint
+Adding routes/users.py...
```
-### GitHub Codespaces
-
-Press the `,` key on this repository's GitHub page to create a codespace. After a moment, you'll receive a cloud virtual machine environment pre-installed with open-interpreter. You can then start interacting with it directly and freely confirm its execution of system commands without worrying about damaging the system.
-
-## Comparison to ChatGPT's Code Interpreter
-
-OpenAI's release of [Code Interpreter](https://openai.com/blog/chatgpt-plugins#code-interpreter) with GPT-4 presents a fantastic opportunity to accomplish real-world tasks with ChatGPT.
-
-However, OpenAI's service is hosted, closed-source, and heavily restricted:
-
-- No internet access.
-- [Limited set of pre-installed packages](https://wfhbrian.com/mastering-chatgpts-code-interpreter-list-of-python-packages/).
-- 100 MB maximum upload, 120.0 second runtime limit.
-- State is cleared (along with any generated files or links) when the environment dies.
-
----
-
-Open Interpreter overcomes these limitations by running in your local environment. It has full access to the internet, isn't restricted by time or file size, and can utilize any package or library.
-
-This combines the power of GPT-4's Code Interpreter with the flexibility of your local development environment.
-
-## Commands
-
-**Update:** The Generator Update (0.1.5) introduced streaming:
-
-```python
-message = "What operating system are we on?"
-
-for chunk in interpreter.chat(message, display=False, stream=True):
- print(chunk)
+Instant chats with `i [prompt]`:
+```bash
+$ i want a venv here
+$ i want to undo the last commit
+$ i need deno
```
-### Interactive Chat
-
-To start an interactive chat in your terminal, either run `interpreter` from the command line:
-
-```shell
-interpreter
+Fix errors with `wtf`:
+```bash
+$ python test.py
+ImportError: No module named 'requests'
+$ wtf
+Installing requests...
+Done. Try running your script again.
```
-Or `interpreter.chat()` from a .py file:
+## Configuration
-```python
-interpreter.chat()
-```
+```bash
+# Choose your model
+interpreter --model gpt-4o
+interpreter --model claude-3-sonnet
-**You can also stream each chunk:**
+# Save configurations
+interpreter --model gpt-4o --save-profile 4o
+interpreter --profile 4o
-```python
-message = "What operating system are we on?"
-
-for chunk in interpreter.chat(message, display=False, stream=True):
- print(chunk)
+# Enable tools (default: interpreter,editor)
+interpreter --tools interpreter,editor,gui
```
-### Programmatic Chat
-
-For more precise control, you can pass messages directly to `.chat(message)`:
+## Python Usage
```python
-interpreter.chat("Add subtitles to all videos in /videos.")
+from interpreter import Interpreter
-# ... Streams output to your terminal, completes task ...
+# Start interpreter
+interpreter = Interpreter()
-interpreter.chat("These look great but can you make the subtitles bigger?")
+# Multiple tasks in same context
+messages = interpreter.respond("write a test for this function")
+messages = interpreter.respond("now add error handling")
-# ...
-```
-
-### Start a New Chat
-
-In Python, Open Interpreter remembers conversation history. If you want to start fresh, you can reset it:
-
-```python
+# Reset context
interpreter.messages = []
-```
-
-### Save and Restore Chats
-
-`interpreter.chat()` returns a List of messages, which can be used to resume a conversation with `interpreter.messages = messages`:
-
-```python
-messages = interpreter.chat("My name is Killian.") # Save messages to 'messages'
-interpreter.messages = [] # Reset interpreter ("Killian" will be forgotten)
-
-interpreter.messages = messages # Resume chat from 'messages' ("Killian" will be remembered)
-```
-
-### Customize System Message
-
-You can inspect and configure Open Interpreter's system message to extend its functionality, modify permissions, or give it more context.
-
-```python
-interpreter.system_message += """
-Run shell commands with -y so the user doesn't have to confirm them.
-"""
-print(interpreter.system_message)
-```
-
-### Change your Language Model
-
-Open Interpreter uses [LiteLLM](https://docs.litellm.ai/docs/providers/) to connect to hosted language models.
-
-You can change the model by setting the model parameter:
-
-```shell
-interpreter --model gpt-3.5-turbo
-interpreter --model claude-2
-interpreter --model command-nightly
-```
-
-In Python, set the model on the object:
-
-```python
-interpreter.llm.model = "gpt-3.5-turbo"
-```
-
-[Find the appropriate "model" string for your language model here.](https://docs.litellm.ai/docs/providers/)
-
-### Running Open Interpreter locally
-
-#### Terminal
-
-Open Interpreter can use OpenAI-compatible server to run models locally. (LM Studio, jan.ai, ollama etc)
-
-Simply run `interpreter` with the api_base URL of your inference server (for LM studio it is `http://localhost:1234/v1` by default):
-```shell
-interpreter --api_base "http://localhost:1234/v1" --api_key "fake_key"
-```
-
-Alternatively you can use Llamafile without installing any third party software just by running
-
-```shell
-interpreter --local
-```
-
-for a more detailed guide check out [this video by Mike Bird](https://www.youtube.com/watch?v=CEs51hGWuGU?si=cN7f6QhfT4edfG5H)
-
-**How to run LM Studio in the background.**
+# Set custom context
+interpreter.messages = [{"role": "user", "content": "write a test for this function"}]
-1. Download [https://lmstudio.ai/](https://lmstudio.ai/) then start it.
-2. Select a model then click **↓ Download**.
-3. Click the **↔️** button on the left (below 💬).
-4. Select your model at the top, then click **Start Server**.
-
-Once the server is running, you can begin your conversation with Open Interpreter.
-
-> **Note:** Local mode sets your `context_window` to 3000, and your `max_tokens` to 1000. If your model has different requirements, set these parameters manually (see below).
-
-#### Python
-
-Our Python package gives you more control over each setting. To replicate and connect to LM Studio, use these settings:
-
-```python
-from interpreter import interpreter
-
-interpreter.offline = True # Disables online features like Open Procedures
-interpreter.llm.model = "openai/x" # Tells OI to send messages in OpenAI's format
-interpreter.llm.api_key = "fake_key" # LiteLLM, which we use to talk to LM Studio, requires this
-interpreter.llm.api_base = "http://localhost:1234/v1" # Point this at any OpenAI compatible server
+# Stream output
+for chunk in interpreter.respond(stream=True):
+ print(chunk, end="")
+# Start an interactive chat
interpreter.chat()
-```
-
-#### Context Window, Max Tokens
-
-You can modify the `max_tokens` and `context_window` (in tokens) of locally running models.
-
-For local mode, smaller context windows will use less RAM, so we recommend trying a much shorter window (~1000) if it's failing / if it's slow. Make sure `max_tokens` is less than `context_window`.
-
-```shell
-interpreter --local --max_tokens 1000 --context_window 3000
-```
-
-### Verbose mode
-
-To help you inspect Open Interpreter we have a `--verbose` mode for debugging.
-
-You can activate verbose mode by using its flag (`interpreter --verbose`), or mid-chat:
-
-```shell
-$ interpreter
-...
-> %verbose true <- Turns on verbose mode
-
-> %verbose false <- Turns off verbose mode
-```
-
-### Interactive Mode Commands
-
-In the interactive mode, you can use the below commands to enhance your experience. Here's a list of available commands:
-
-**Available Commands:**
-
-- `%verbose [true/false]`: Toggle verbose mode. Without arguments or with `true` it
- enters verbose mode. With `false` it exits verbose mode.
-- `%reset`: Resets the current session's conversation.
-- `%undo`: Removes the previous user message and the AI's response from the message history.
-- `%tokens [prompt]`: (_Experimental_) Calculate the tokens that will be sent with the next prompt as context and estimate their cost. Optionally calculate the tokens and estimated cost of a `prompt` if one is provided. Relies on [LiteLLM's `cost_per_token()` method](https://docs.litellm.ai/docs/completion/token_usage#2-cost_per_token) for estimated costs.
-- `%help`: Show the help message.
-
-### Configuration / Profiles
-
-Open Interpreter allows you to set default behaviors using `yaml` files.
-
-This provides a flexible way to configure the interpreter without changing command-line arguments every time.
-
-Run the following command to open the profiles directory:
-
-```
-interpreter --profiles
-```
-
-You can add `yaml` files there. The default profile is named `default.yaml`.
-
-#### Multiple Profiles
-
-Open Interpreter supports multiple `yaml` files, allowing you to easily switch between configurations:
-
-```
-interpreter --profile my_profile.yaml
-```
-
-## Sample FastAPI Server
-
-The generator update enables Open Interpreter to be controlled via HTTP REST endpoints:
-
-```python
-# server.py
-
-from fastapi import FastAPI
-from fastapi.responses import StreamingResponse
-from interpreter import interpreter
-
-app = FastAPI()
-
-@app.get("/chat")
-def chat_endpoint(message: str):
- def event_stream():
- for result in interpreter.chat(message, stream=True):
- yield f"data: {result}\n\n"
-
- return StreamingResponse(event_stream(), media_type="text/event-stream")
-
-@app.get("/history")
-def history_endpoint():
- return interpreter.messages
-```
-
-```shell
-pip install fastapi uvicorn
-uvicorn server:app --reload
-```
-
-You can also start a server identical to the one above by simply running `interpreter.server()`.
-
-## Android
-
-The step-by-step guide for installing Open Interpreter on your Android device can be found in the [open-interpreter-termux repo](https://github.com/MikeBirdTech/open-interpreter-termux).
-
-## Safety Notice
-
-Since generated code is executed in your local environment, it can interact with your files and system settings, potentially leading to unexpected outcomes like data loss or security risks.
-
-**⚠️ Open Interpreter will ask for user confirmation before executing code.**
-
-You can run `interpreter -y` or set `interpreter.auto_run = True` to bypass this confirmation, in which case:
-
-- Be cautious when requesting commands that modify files or system settings.
-- Watch Open Interpreter like a self-driving car, and be prepared to end the process by closing your terminal.
-- Consider running Open Interpreter in a restricted environment like Google Colab or Replit. These environments are more isolated, reducing the risks of executing arbitrary code.
-There is **experimental** support for a [safe mode](https://github.com/OpenInterpreter/open-interpreter/blob/main/docs/SAFE_MODE.md) to help mitigate some risks.
-
-## How Does it Work?
-
-Open Interpreter equips a [function-calling language model](https://platform.openai.com/docs/guides/gpt/function-calling) with an `exec()` function, which accepts a `language` (like "Python" or "JavaScript") and `code` to run.
-
-We then stream the model's messages, code, and your system's outputs to the terminal as Markdown.
-
-# Access Documentation Offline
-
-The full [documentation](https://docs.openinterpreter.com/) is accessible on-the-go without the need for an internet connection.
-
-[Node](https://nodejs.org/en) is a pre-requisite:
-
-- Version 18.17.0 or any later 18.x.x version.
-- Version 20.3.0 or any later 20.x.x version.
-- Any version starting from 21.0.0 onwards, with no upper limit specified.
-
-Install [Mintlify](https://mintlify.com/):
-
-```bash
-npm i -g mintlify@latest
+# View conversation history
+print(interpreter.messages)
```
-Change into the docs directory and run the appropriate command:
-
-```bash
-# Assuming you're at the project's root directory
-cd ./docs
-
-# Run the documentation server
-mintlify dev
-```
-
-A new browser window should open. The documentation will be available at [http://localhost:3000](http://localhost:3000) as long as the documentation server is running.
-
-# Contributing
-
-Thank you for your interest in contributing! We welcome involvement from the community.
-
-Please see our [contributing guidelines](https://github.com/OpenInterpreter/open-interpreter/blob/main/docs/CONTRIBUTING.md) for more details on how to get involved.
-
-# Roadmap
-
-Visit [our roadmap](https://github.com/OpenInterpreter/open-interpreter/blob/main/docs/ROADMAP.md) to preview the future of Open Interpreter.
-
-**Note**: This software is not affiliated with OpenAI.
+## Benchmarks
-
+(Coming soon)
-> Having access to a junior programmer working at the speed of your fingertips ... can make new workflows effortless and efficient, as well as open the benefits of programming to new audiences.
->
-> — _OpenAI's Code Interpreter Release_
+## License
-
+[AGPL-3.0](LICENSE)
\ No newline at end of file