Documentation and profile updates

docs/guides/profiles.mdx

@@ -21,7 +21,7 @@ If you want to make your own profile, start with the [Template Profile](https://
 
 To apply a Profile to an Open Interpreter session, you can run `interpreter --profile <name>`
 
-# Example Profile
+# Example Python Profile
 
 ```Python
 from interpreter import interpreter
@@ -38,6 +38,31 @@ interpreter.auto_run = True
 interpreter.loop = True
 ```
 
+# Example YAML Profile
+
+<Info> Make sure YAML profile version is set to 0.2.5 </Info>
+
+```YAML
+llm:
+  model: "gpt-4-o"
+  temperature: 0
+  # api_key: ...  # Your API key, if the API requires it
+  # api_base: ...  # The URL where an OpenAI-compatible server is running to handle LLM API requests
+
+# Computer Settings
+computer:
+  import_computer_api: True # Gives OI a helpful Computer API designed for code interpreting language models
+
+# Custom Instructions
+custom_instructions: ""  # This will be appended to the system message
+
+# General Configuration
+auto_run: False  # If True, code will run without asking for confirmation
+offline: False  # If True, will disable some online features like checking for updates
+
+version: 0.2.5 # Configuration file version (do not modify)
+```
+
 <Tip>
   There are many settings that can be configured. [See them all
   here](/settings/all-settings)

docs/mint.json

@@ -31,7 +31,10 @@
   "navigation": [
     {
       "group": "Getting Started",
-      "pages": ["getting-started/introduction", "getting-started/setup"]
+      "pages": [
+        "getting-started/introduction",
+        "getting-started/setup"
+      ]
     },
     {
       "group": "Guides",
@@ -47,7 +50,9 @@
     },
     {
       "group": "Settings",
-      "pages": ["settings/all-settings"]
+      "pages": [
+        "settings/all-settings"
+      ]
     },
     {
       "group": "Language Models",
@@ -105,11 +110,16 @@
     },
     {
       "group": "Protocols",
-      "pages": ["protocols/lmc-messages"]
+      "pages": [
+        "protocols/lmc-messages"
+      ]
     },
     {
       "group": "Integrations",
-      "pages": ["integrations/e2b", "integrations/docker"]
+      "pages": [
+        "integrations/e2b",
+        "integrations/docker"
+      ]
     },
     {
       "group": "Safety",
@@ -120,9 +130,17 @@
         "safety/best-practices"
       ]
     },
+    {
+      "group": "Troubleshooting",
+      "pages": [
+        "troubleshooting/faq"
+      ]
+    },
     {
       "group": "Telemetry",
-      "pages": ["telemetry/telemetry"]
+      "pages": [
+        "telemetry/telemetry"
+      ]
     }
   ],
   "feedback": {
@@ -133,4 +151,4 @@
     "youtube": "https://www.youtube.com/@OpenInterpreter",
     "linkedin": "https://www.linkedin.com/company/openinterpreter"
   }
-}
+}

docs/troubleshooting/faq.mdx

@@ -0,0 +1,16 @@
+---
+title: "FAQ"
+description: "Frequently Asked Questions"
+---
+
+<Accordion title="Does Open Interpreter ensure that my data doesn't leave my computer?">
+  As long as you're using a local language model, your messages / personal info
+  won't leave your computer. If you use a cloud model, we send your messages +
+  custom instructions to the model. We also have a basic telemetry
+  [function](https://github.com/OpenInterpreter/open-interpreter/blob/main/interpreter/core/core.py#L167)
+  (copied over from ChromaDB's telemetry) that anonymously tracks usage. This
+  only lets us know if a message was sent, includes no PII. OI errors will also
+  be reported here which includes the exception string. Detailed docs on all
+  this is [here](/telemetry/telemetry), and you can opt out by running
+  `--local`, `--offline`, or `--disable_telemetry`.
+</Accordion>

examples/Dockerfile

@@ -0,0 +1,20 @@
+# This is a Dockerfile for using an isolated instance of Open Interpreter
+
+# Start with Python 3.11
+FROM python:3.11
+
+# Replace <your_openai_api_key> with your own key
+ENV OPENAI_API_KEY <your_openai_api_key>
+
+# Install Open Interpreter
+RUN pip install open-interpreter
+
+
+# To run the container
+
+# docker build -t openinterpreter .
+# docker run -d -it --name interpreter-instance openinterpreter interpreter
+# docker attach interpreter-instance
+
+# To mount a volume
+# docker run -d -it -v /path/on/your/host:/path/in/the/container --name interpreter-instance openinterpreter interpreter

examples/interactive_quickstart.py

@@ -0,0 +1,4 @@
+# This is all you need to get started
+from interpreter import interpreter
+
+interpreter.chat()

examples/local_server.ipynb

@@ -0,0 +1,119 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Build a local Open Interpreter server for a custom front end"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from flask import Flask, request, jsonify\n",
+    "from interpreter import interpreter\n",
+    "import json"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "app = Flask(__name__)\n",
+    "\n",
+    "# Configure Open Interpreter\n",
+    "\n",
+    "## Local Model\n",
+    "# interpreter.offline = True\n",
+    "# interpreter.llm.model = \"ollama/llama3.1\"\n",
+    "# interpreter.llm.api_base = \"http://localhost:11434\"\n",
+    "# interpreter.llm.context_window = 4000\n",
+    "# interpreter.llm.max_tokens = 3000\n",
+    "# interpreter.auto_run = True\n",
+    "# interpreter.verbose = True\n",
+    "\n",
+    "## Hosted Model\n",
+    "interpreter.llm.model = \"gpt-4o\"\n",
+    "interpreter.llm.context_window = 10000\n",
+    "interpreter.llm.max_tokens = 4096\n",
+    "interpreter.auto_run = True\n",
+    "\n",
+    "# Create an endpoint\n",
+    "@app.route('/chat', methods=['POST'])\n",
+    "def chat():\n",
+    "    # Expected payload: {\"prompt\": \"User's message or question\"}\n",
+    "    data = request.json\n",
+    "    prompt = data.get('prompt')\n",
+    "    \n",
+    "    if not prompt:\n",
+    "        return jsonify({\"error\": \"No prompt provided\"}), 400\n",
+    "\n",
+    "    full_response = \"\"\n",
+    "    try:\n",
+    "        for chunk in interpreter.chat(prompt, stream=True, display=False):\n",
+    "            if isinstance(chunk, dict):\n",
+    "                if chunk.get(\"type\") == \"message\":\n",
+    "                    full_response += chunk.get(\"content\", \"\")\n",
+    "            elif isinstance(chunk, str):\n",
+    "                # Attempt to parse the string as JSON\n",
+    "                try:\n",
+    "                    json_chunk = json.loads(chunk)\n",
+    "                    full_response += json_chunk.get(\"response\", \"\")\n",
+    "                except json.JSONDecodeError:\n",
+    "                    # If it's not valid JSON, just add the string\n",
+    "                    full_response += chunk\n",
+    "    except Exception as e:\n",
+    "        return jsonify({\"error\": str(e)}), 500\n",
+    "\n",
+    "    return jsonify({\"response\": full_response.strip()})\n",
+    "\n",
+    "if __name__ == '__main__':\n",
+    "    app.run(host='0.0.0.0', port=5001)\n",
+    "\n",
+    "print(\"Open Interpreter server is running on http://0.0.0.0:5001\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Make a request to the server"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "curl -X POST http://localhost:5001/chat \\\n",
+    "     -H \"Content-Type: application/json\" \\\n",
+    "     -d '{\"prompt\": \"Hello, how are you?\"}'"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

interpreter/core/llm/llm.py

@@ -51,7 +51,7 @@ def __init__(self, interpreter):
         self.completions = fixed_litellm_completions
 
         # Settings
-        self.model = "gpt-4-turbo"
+        self.model = "gpt-4o"
         self.temperature = 0
 
         self.supports_vision = None  # Will try to auto-detect

interpreter/terminal_interface/profiles/defaults/bedrock-anthropic.py

@@ -0,0 +1,26 @@
+"""
+This is an Open Interpreter profile. It configures Open Interpreter to run Anthropic's `Claude 3 Sonnet` using Bedrock.
+"""
+
+"""
+Required pip package:
+pip install boto3>=1.28.57
+
+Required environment variables:
+os.environ["AWS_ACCESS_KEY_ID"] = ""  # Access key
+os.environ["AWS_SECRET_ACCESS_KEY"] = "" # Secret access key
+os.environ["AWS_REGION_NAME"] = "" # us-east-1, us-east-2, us-west-1, us-west-2
+
+More information can be found here: https://docs.litellm.ai/docs/providers/bedrock
+"""
+
+from interpreter import interpreter
+
+interpreter.llm.model = "bedrock/anthropic.claude-3-sonnet-20240229-v1:0"
+
+interpreter.computer.import_computer_api = True
+
+interpreter.llm.supports_functions = True
+interpreter.llm.supports_vision = True
+interpreter.llm.context_window = 100000
+interpreter.llm.max_tokens = 4096

interpreter/terminal_interface/profiles/defaults/default.yaml

@@ -4,7 +4,7 @@
 
 # LLM Settings
 llm:
-  model: "gpt-4-turbo"
+  model: "gpt-4o"
   temperature: 0
   # api_key: ...  # Your API key, if the API requires it
   # api_base: ...  # The URL where an OpenAI-compatible server is running to handle LLM API requests
@@ -26,7 +26,7 @@ computer:
 
 # To use a separate model for the `wtf` command:
 # wtf:
-#   model: "gpt-3.5-turbo"
+#   model: "gpt-4o-mini"
 
 # Documentation
 # All options: https://docs.openinterpreter.com/settings

interpreter/terminal_interface/profiles/defaults/fast.yaml

@@ -3,7 +3,7 @@
 # Remove the "#" before the settings below to use them.
 
 llm:
-  model: "gpt-3.5-turbo"
+  model: "gpt-4o-mini"
   temperature: 0
   # api_key: ...  # Your API key, if the API requires it
   # api_base: ...  # The URL where an OpenAI-compatible server is running to handle LLM API requests
@@ -23,4 +23,4 @@ custom_instructions: "The user has set you to FAST mode. **No talk, just code.**
 
 # All options: https://docs.openinterpreter.com/settings
 
-version: 0.2.1 # Configuration file version (do not modify)
+version: 0.2.5 # Configuration file version (do not modify)

interpreter/terminal_interface/profiles/defaults/snowpark.yml

@@ -4,7 +4,7 @@
 
 # LLM Settings
 llm:
-  model: "gpt-4-turbo"
+  model: "gpt-4o"
   temperature: 0
   # api_key: ...  # Your API key, if the API requires it
   # api_base: ...  # The URL where an OpenAI-compatible server is running to handle LLM API requests

interpreter/terminal_interface/profiles/defaults/vision.yaml

@@ -17,5 +17,5 @@ llm:
 
 # All options: https://docs.openinterpreter.com/usage/terminal/settings
 
-version: 0.2.1 # Configuration file version (do not modify)
+version: 0.2.5 # Configuration file version (do not modify)
 

interpreter/terminal_interface/profiles/profiles.py

@@ -170,11 +170,11 @@ def apply_profile(interpreter, profile, profile_path):
 
                 try:
                     if profile["llm"]["model"] == "gpt-4":
-                        text = text.replace("gpt-4", "gpt-4-turbo")
-                        profile["llm"]["model"] = "gpt-4-turbo"
+                        text = text.replace("gpt-4", "gpt-4o")
+                        profile["llm"]["model"] = "gpt-4o"
                     elif profile["llm"]["model"] == "gpt-4-turbo-preview":
-                        text = text.replace("gpt-4-turbo-preview", "gpt-4-turbo")
-                        profile["llm"]["model"] = "gpt-4-turbo"
+                        text = text.replace("gpt-4-turbo-preview", "gpt-4o")
+                        profile["llm"]["model"] = "gpt-4o"
                 except:
                     raise
                     pass  # fine

interpreter/terminal_interface/start_terminal_interface.py

@@ -197,7 +197,7 @@ def start_terminal_interface(interpreter):
         {
             "name": "fast",
             "nickname": "f",
-            "help_text": "runs `interpreter --model gpt-3.5-turbo` and asks OI to be extremely concise (shortcut for `interpreter --profile fast`)",
+            "help_text": "runs `interpreter --model gpt-4o-mini` and asks OI to be extremely concise (shortcut for `interpreter --profile fast`)",
             "type": bool,
         },
         {

interpreter/terminal_interface/validate_llm_settings.py

@@ -37,6 +37,7 @@ def validate_llm_settings(interpreter):
                 "gpt-4",
                 "gpt-3.5-turbo",
                 "gpt-4o",
+                "gpt-4o-mini",
                 "gpt-4-turbo",
             ]:
                 if (
@@ -50,7 +51,7 @@ def validate_llm_settings(interpreter):
                         """---
                     > OpenAI API key not found
 
-                    To use `gpt-4-turbo` (recommended) please provide an OpenAI API key.
+                    To use `gpt-4o` (recommended) please provide an OpenAI API key.
 
                     To use another language model, run `interpreter --local` or consult the documentation at [docs.openinterpreter.com](https://docs.openinterpreter.com/language-model-setup/).