AI Example

This is an example of how an application to use an LLM can be configured to easily customize the system instructions and enabled tools using Optify.

See Configurable Lists and Configurable Strings for more details on how to dynamically build lists and strings.

Other properties such as the tool input schema can also be customized adjacent to the tool's description.

Here is a simple configuration. Imagine it was the result of merging multiple configuration files based on several features.

{
    "options": {
        "model": {
            "name": "GPT-5",
            "parameters": {
                "max_tokens": 1500,
                "temperature": 0.7
            }
        },
        "system_instructions": {
            "$type": "Optify.ConfigurableString",
            "base": {
                "file": "templates/system_instructions.liquid"
            },
            "arguments": {
                "product_name": "MyApp",
                "personality": {
                    "file": "shared/personality.txt"
                }
            }
        },
        "tools": {
            "$type": "Optify.ConfigurableList",
            "code_executor": {
                "$value":{
                    "name": "code_executor",
                    "description": {
                        "$type": "Optify.ConfigurableString",
                        "base": "Executes code snippets in a secure environment."
                    }
                }
            },
            // Map to `null` to disable a tool.
            "math": null,
            "web_search": {
                "$value":{
                    "name": "web_search",
                    "description": {
                        "$type": "Optify.ConfigurableString",
                        "base": {
                            "liquid": "Search the web using {{ provider }}."
                        },
                        "arguments": {
                            "provider": "Bing Search"
                        }
                    }
                }
            }
        }
    }
}

Here is how your code would see the configuration when using an OptionsProvider with configurable values enabled:

{
    "options": {
        "model": {
            "name": "GPT-5",
            "parameters": {
                "max_tokens": 1500,
                "temperature": 0.7
            }
        },
        "system_instructions": "You are a helpful assistant for MyApp.\n\nYou are nice.",
        "tools": [
            {
                "name": "code_executor",
                "description": "Executes code snippets in a secure environment."
            },
            {
                "name": "web_search",
                "description": "Search the web using Bing Search."
            }
        ]
    }
}