Profiles are a powerful way to customize your instance of Open Interpreter.

Profiles are Python files that configure Open Interpreter. A wide range of fields from the model to the context window to the message templates can be configured in a Profile. This allows you to save multiple variations of Open Interpreter to optimize for your specific use-cases.

You can access your Profiles by running interpreter --profiles. This will open the directory where all of your Profiles are stored.

If you want to make your own profile, start with the Template Profile.

To apply a Profile to an Open Interpreter session, you can run interpreter --profile <name>

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Example Python Profile

from interpreter import interpreter

interpreter.os = True
interpreter.llm.supports_vision = True

interpreter.llm.model = "gpt-4o"

interpreter.llm.supports_functions = True
interpreter.llm.context_window = 110000
interpreter.llm.max_tokens = 4096
interpreter.auto_run = True
interpreter.loop = True

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Example YAML Profile

Make sure YAML profile version is set to 0.2.5 
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)

There are many settings that can be configured. See them all here

Running LocallyStreaming Response