Big docs update, new setup tutorial

Docs update

Author: KillianLucas

docs/code-execution/settings.mdx

@@ -4,4 +4,4 @@ title: Settings
 
 The `interpreter.computer` is responsible for executing code.
 
-[Click here to view `interpreter.computer` settings.](https://docs.openinterpreter.com/settings/all-settings#computer)
+[Click here](https://docs.openinterpreter.com/settings/all-settings#computer) to view `interpreter.computer` settings.

docs/guides/basic-usage.mdx

@@ -28,18 +28,20 @@ title: Basic Usage
 
 ### Interactive Chat
 
-To start an interactive chat in your terminal, either run `interpreter` from the command line:
+To start an interactive chat in your terminal, either run `interpreter` from the command line or `interpreter.chat()` from a .py file.
 
-```shell
+<CodeGroup>
+
+```shell Terminal
 interpreter
 ```
 
-Or `interpreter.chat()` from a .py file:
-
-```python
+```python Python
 interpreter.chat()
 ```
 
+</CodeGroup>
+
 ---
 
 ### Programmatic Chat
@@ -60,18 +62,22 @@ 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:
+In your terminal, Open Interpreter behaves like ChatGPT and will not remember previous conversations. Simply run `interpreter` to start a new chat.
 
-```shell
+In Python, Open Interpreter remembers conversation history. If you want to start fresh, you can reset it.
+
+<CodeGroup>
+
+```shell Terminal
 interpreter
 ```
 
-In Python, Open Interpreter remembers conversation history. If you want to start fresh, you can reset it:
-
-```python
+```python Python
 interpreter.messages = []
 ```
 
+</CodeGroup>
+
 ---
 
 ### Save and Restore Chats
@@ -80,13 +86,15 @@ In your terminal, Open Interpreter will save previous conversations to `<your ap
 
 You can resume any of them by running `--conversations`. Use your arrow keys to select one , then press `ENTER` to resume it.
 
-```shell
+In Python, `interpreter.chat()` returns a List of messages, which can be used to resume a conversation with `interpreter.messages = messages`.
+
+<CodeGroup>
+
+```shell Terminal
 interpreter --conversations
 ```
 
-In Python, `interpreter.chat()` returns a List of messages, which can be used to resume a conversation with `interpreter.messages = messages`:
-
-```python
+```python Python
 # Save messages to 'messages'
 messages = interpreter.chat("My name is Killian.")
 
@@ -97,6 +105,8 @@ interpreter.messages = []
 interpreter.messages = messages
 ```
 
+</CodeGroup>
+
 ---
 
 ### Configure Default Settings

docs/guides/profiles.mdx

@@ -31,15 +31,3 @@ interpreter.loop = True
   There are many settings that can be configured. [See them all
   here](/settings/all-settings)
 </Tip>
-
-## Helpful settings for local models
-
-Local models benefit from more coercion and guidance. This verbosity of adding extra context to messages can impact the conversational experience of Open Interpreter. The following settings allow templates to be applied to messages to improve the steering of the language model while maintaining the natural flow of conversation.
-
-`interpreter.user_message_template` allows users to have their message wrapped in a template. This can be helpful steering a language model to a desired behaviour without needing the user to add extra context to their message.
-
-`interpreter.always_apply_user_message_template` has all user messages to be wrapped in the template. If False, only the last User message will be wrapped.
-
-`interpreter.code_output_template` wraps the output from the computer after code is run. This can help with nudging the language model to continue working or to explain outputs.
-
-`interpreter.empty_code_output_template` is the message that is sent to the language model if code execution results in no output.

docs/guides/running-locally.mdx

@@ -49,6 +49,18 @@ interpreter.llm.api_base = "http://localhost:11434"
 interpreter.chat("how many files are on my desktop?")
 ```
 
+## Helpful settings for local models
+
+Local models benefit from more coercion and guidance. This verbosity of adding extra context to messages can impact the conversational experience of Open Interpreter. The following settings allow templates to be applied to messages to improve the steering of the language model while maintaining the natural flow of conversation.
+
+`interpreter.user_message_template` allows users to have their message wrapped in a template. This can be helpful steering a language model to a desired behaviour without needing the user to add extra context to their message.
+
+`interpreter.always_apply_user_message_template` has all user messages to be wrapped in the template. If False, only the last User message will be wrapped.
+
+`interpreter.code_output_template` wraps the output from the computer after code is run. This can help with nudging the language model to continue working or to explain outputs.
+
+`interpreter.empty_code_output_template` is the message that is sent to the language model if code execution results in no output.
+
 <Info>
   Other configuration settings are explained in
   [Settings](/settings/all-settings).

docs/language-models/introduction.mdx

@@ -10,25 +10,20 @@ For this reason, we recommend starting with a **hosted** model, then switching t
 
 <CardGroup>
 
-<Card
-  title="Hosted setup"
-  icon="cloud"
-  href="/language-models/hosted-models"
->
+<Card title="Hosted setup" icon="cloud" href="/language-models/hosted-models">
   Connect to a hosted language model like GPT-4 **(recommended)**
 </Card>
 
-<Card
-  title="Local setup"
-  icon="microchip"
-  href="/language-models/local-models"
->
+<Card title="Local setup" icon="microchip" href="/language-models/local-models">
   Setup a local language model like Mistral
 </Card>
 
 </CardGroup>
 
-<br/>
-<br/>
+<br />
+<br />
 
-<span class="opacity-50">Thank you to the incredible [LiteLLM](https://litellm.ai/) team for their efforts in connecting Open Interpreter to hosted providers.</span>
+<Info>
+  Thank you to the incredible [LiteLLM](https://litellm.ai/) team for their
+  efforts in connecting Open Interpreter to hosted providers.
+</Info>

docs/language-models/local-models/janai.mdx

@@ -49,3 +49,8 @@ interpreter.context_window = 5000
 ```
 
 </CodeGroup>
+
+<Warning>
+  If Jan is producing strange output, or no output at all, make sure to update
+  to the latest version and clean your cache.
+</Warning>

docs/language-models/settings.mdx

@@ -4,4 +4,4 @@ title: Settings
 
 The `interpreter.llm` is responsible for running the language model.
 
-[Click here to view `interpreter.llm` settings.](/settings/all-settings#language-model)
+[Click here](/settings/all-settings#language-model) to view `interpreter.llm` settings.

docs/mint.json

@@ -97,10 +97,10 @@
     {
       "group": "Code Execution",
       "pages": [
-        "code-execution/settings",
         "code-execution/usage",
         "code-execution/computer-api",
-        "code-execution/custom-languages"
+        "code-execution/custom-languages",
+        "code-execution/settings"
       ]
     },
     {

docs/safety/introduction.mdx

@@ -14,4 +14,9 @@ Safety is a top priority for us at Open Interpreter. Running LLM generated code
 
 ## Notice
 
-Open Interpreter is not responsible for any damage caused by using the package. These safety measures provide no guarantees of safety or security. Please be careful when running code generated by Open Interpreter, and make sure you understand what it will do before running it.
+<Warning>
+  Open Interpreter is not responsible for any damage caused by using the
+  package. These safety measures provide no guarantees of safety or security.
+  Please be careful when running code generated by Open Interpreter, and make
+  sure you understand what it will do before running it.
+</Warning>

docs/settings/all-settings.mdx

@@ -393,7 +393,7 @@ interpreter --help
 
 </CodeGroup>
 
-### Force Task Completion
+### Loop (Force Task Completion)
 
 Runs Open Interpreter in a loop, requiring it to admit to completing or failing every task.
 
@@ -622,8 +622,6 @@ This property holds a list of `messages` between the user and the interpreter.
 
 You can use it to restore a conversation:
 
-<CodeGroup>
-
 ```python
 interpreter.chat("Hi! Can you print hello world?")
 
@@ -652,8 +650,6 @@ print(interpreter.messages)
 interpreter.messages = messages # A list that resembles the one above
 ```
 
-</CodeGroup>
-
 ### User Message Template
 
 A template applied to the User's message. `{content}` will be replaced with the user's message, then sent to the language model.