Introduced a new documentation structure, added demos, and more

docs/code-execution/computer-api.mdx

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+---
+title: Computer API
+---
+
+Coming soon...

docs/code-execution/custom-languages.mdx

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+---
+title: Custom Languages
+---
+
+Coming soon...

docs/code-execution/settings.mdx

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+---
+title: Settings
+---
+
+Coming soon...

docs/code-execution/usage.mdx

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+---
+title: Usage
+---
+
+Coming soon...

docs/guides/advanced-terminal-usage.mdx

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+---
+title: Advanced Terminal Usage
+---
+
+Magic commands can be used to control the interpreter's behavior in interactive mode:
+
+- `%verbose [true/false]`: Toggle verbose mode
+- `%reset`: Reset the current session
+- `%undo`: Remove the last message and its response
+- `%save_message [path]`: Save messages to a JSON file
+- `%load_message [path]`: Load messages from a JSON file

docs/guides/basic-usage.mdx

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+---
+title: Basic Usage
+---
+
+
+<CardGroup>
+
+<Card
+  title="Interactive demo"
+  icon="gamepad-modern"
+  iconType="solid"
+  href="https://colab.research.google.com/drive/1WKmRXZgsErej2xUriKzxrEAXdxMSgWbb?usp=sharing"
+>
+  Try Open Interpreter without installing anything on your computer
+</Card>
+
+<Card
+  title="Example voice interface"
+  icon="circle"
+  iconType="solid"
+  href="https://colab.research.google.com/drive/1NojYGHDgxH6Y1G1oxThEBBb2AtyODBIK"
+>
+  An example implementation of Open Interpreter's streaming capabilities
+</Card>
+
+</CardGroup>
+
+---
+
+### Interactive Chat
+
+To start an interactive chat in your terminal, either run `interpreter` from the command line:
+
+```shell
+interpreter
+```
+
+Or `interpreter.chat()` from a .py file:
+
+```python
+interpreter.chat()
+```
+
+---
+
+### Programmatic Chat
+
+For more precise control, you can pass messages directly to `.chat(message)` in Python:
+
+```python
+interpreter.chat("Add subtitles to all videos in /videos.")
+
+# ... Displays output in your terminal, completes task ...
+
+interpreter.chat("These look great but can you make the subtitles bigger?")
+
+# ...
+```
+
+---
+
+### Start a New Chat
+
+In your terminal, Open Interpreter behaves like ChatGPT and will not remember previous conversations. Simply run `interpreter` to start a new chat:
+
+```shell
+interpreter
+```
+
+In Python, Open Interpreter remembers conversation history. If you want to start fresh, you can reset it:
+
+```python
+interpreter.messages = []
+```
+
+---
+
+### Save and Restore Chats
+
+In your terminal, Open Interpreter will save previous conversations to `<your application directory>/Open Interpreter/conversations/`.
+
+You can resume any of them by running `--conversations`. Use your arrow keys to select one , then press `ENTER` to resume it.
+
+```shell
+interpreter --conversations
+```
+
+In Python, `interpreter.chat()` returns a List of messages, which can be used to resume a conversation with `interpreter.messages = messages`:
+
+```python
+# Save messages to 'messages'
+messages = interpreter.chat("My name is Killian.")
+
+# Reset interpreter ("Killian" will be forgotten)
+interpreter.messages = []
+
+# Resume chat from 'messages' ("Killian" will be remembered)
+interpreter.messages = messages
+```
+
+---
+
+### Configure Default Settings
+
+We save default settings to a configuration file which can be edited by running the following command:
+
+```shell
+interpreter --config
+```
+
+You can use this to set your default language model, system message (custom instructions), max budget, etc.
+
+<Info>**Note:** The Python library will also inherit settings from this config file, but you can only change it by running `interpreter --config` or navigating to `<your application directory>/Open Interpreter/config.yaml` and editing it manually.</Info>
+
+---
+
+### Customize System Message
+
+In your terminal, modify the system message by [editing your configuration file as described here](#configure-default-settings).
+
+In Python, 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 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/)

docs/guides/demos.mdx

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+---
+title: Demos
+---
+
+### Vision Mode
+
+#### Recreating a Tailwind Component
+
+Creating a dropdown menu in Tailwind from a single screenshot:
+
+https://twitter.com/hellokillian/status/1723106008061587651
+
+#### Recreating the ChatGPT interface using GPT-4V:
+
+https://twitter.com/chilang/status/1724577200135897255
+
+### OS Mode
+
+#### Playing Music
+
+Open Interpreter playing some Lofi using OS mode:
+
+<iframe
+  width="560"
+  height="315"
+  src="https://www.youtube.com/watch?v=CEs51hGWuGU&ab_channel=MikeBird"
+  title="3 Ways to Use Open Interpreter FOR FREE, locally and with Open Source Software
+"
+  frameborder="0"
+  allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
+  allowFullScreen
+></iframe>
+
+#### Open Interpreter Chatting with Open Interpreter
+
+OS mode creating and chatting with a local instance of Open Interpreter:
+
+https://twitter.com/FieroTy/status/1746639975234560101
+
+#### Controlling an Arduino
+
+Reading temperature and humidity from an Arudino:
+
+https://twitter.com/vindiww/status/1744252926321942552
+
+#### Music Creation
+
+OS mode using Logic Pro X to record a piano song and play it back:
+
+https://twitter.com/FieroTy/status/1744203268451111035
+
+#### Generating images in Everart.ai
+
+Open Interpreter descibing pictures it wants to make, then creating them using OS mode:
+
+https://twitter.com/skirano/status/1747670816437735836
+
+#### Open Interpreter Conversing With ChatGPT
+
+OS mode has a conversation with ChatGPT and even asks it "What do you think about human/AI interaction?"
+
+https://twitter.com/skirano/status/1747772471770583190
+
+#### Sending an Email with Gmail
+
+OS mode launches Safari, composes an email, and sends it:
+
+https://twitter.com/FieroTy/status/1743437525207928920

docs/guides/multiple-instances.mdx

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+---
+title: Multiple Instances
+---
+
+Coming soon...

docs/guides/running-locally.mdx

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+---
+title: Running Locally
+---
+
+Check out this awesome video by Mike Bird on how to run Open Interpreter locally! He goes over three different methods for setting up a local language model to run with Open Interpreter.
+
+<iframe
+  width="560"
+  height="315"
+  src="https://www.youtube.com/watch?v=CEs51hGWuGU&ab_channel=MikeBird"
+  title="3 Ways to Use Open Interpreter FOR FREE, locally and with Open Source Software
+"
+  frameborder="0"
+  allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
+  allowFullScreen
+></iframe>
+
+## How to use Open Interpreter locally
+
+### Ollama
+
+1. Download Ollama - https://ollama.ai/download
+2. `ollama run dolphin-mixtral:8x7b-v2.6`
+3. `interpreter --model ollama/dolphin-mixtral:8x7b-v2.6`
+
+# Jan.ai
+
+1. Download Jan - [Jan.ai](http://jan.ai/)
+2. Download model from Hub
+3. Enable API server
+   1. Settings
+   2. Advanced
+   3. Enable API server
+4. Select Model to use
+5. `interpreter --api_base http://localhost:1337/v1  --model mixtral-8x7b-instruct`
+
+# llamafile
+
+1. Download or make a llamafile - https://github.com/Mozilla-Ocho/llamafile
+2. `chmod +x mixtral-8x7b-instruct-v0.1.Q5_K_M.llamafile`
+3. `./mixtral-8x7b-instruct-v0.1.Q5_K_M.llamafile`
+4. `interpreter --api_base https://localhost:8080/v1`
+
+Make sure that Xcode is installed for Apple Silicon

docs/language-model-setup/local-models/custom-endpoint.mdx → docs/language-models/local-models/custom-endpoint.mdx

@@ -5,7 +5,6 @@ title: Custom Endpoint
 Simply set `api_base` to any OpenAI compatible server:
 
 <CodeGroup>
-
 ```bash Terminal
 interpreter --api_base <custom_endpoint>
 ```
@@ -17,4 +16,4 @@ interpreter.llm.api_base = "<custom_endpoint>"
 interpreter.chat()
 ```
 
-</CodeGroup>
+</CodeGroup>

docs/language-model-setup/local-models/janai.mdx → docs/language-models/local-models/janai.mdx

@@ -6,7 +6,7 @@ Jan.ai is an open-source platform for running local language models on your comp
 
 To run Open Interpreter with Jan.ai, follow these steps:
 
-1. Install the Jan.ai Desktop Application on your computer. At the time of writing, you will need to download a nightly build, as the standard application does not come with a local server. You can find instructions for installing a nightly build [here](https://jan.ai/install/nightly/).
+1. [Install](https://jan.ai/) the Jan.ai Desktop Application on your computer.
 
 2. Once installed, you will need to install a language model. Click the 'Hub' icon on the left sidebar (the four squares icon). Click the 'Download' button next to the model you would like to install, and wait for it to finish installing before continuing.
 

docs/language-models/settings.mdx

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+---
+title: Settings
+---
+Coming soon...

docs/language-models/usage.mdx

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+---
+title: Usage
+---
+
+Coming soon...