Specify an API key for a provider.

Specify an API org for a provider.

Add a message to the conversation.

Add a list of messages to the conversation.

Specify a specific model or model picker.

This function allows you to define the model to be used for inference. You can either provide a specific model, like Model.smartest(), or a model picker function that dynamically selects the best model based on the context and available providers.

Examples:

• Model.smartest() - This will select the "smartest" available model at inference time, based on factors like performance and capabilities.
• Model.cheapest(params: :best_effort) - This will select the cheapest available model that can handle the given parameters and context size.
• CustomProvider.custom_model - This allows you to use a custom model from a user-defined provider.

Set a hyperparameter option.

Some options are model-specific. The value can be a literal or a picker function that dynamically determines the best value based on the context and model.

Examples:

• Parameter.required(name, value) - This sets a required parameter with the specified name and value.
• Gemini.best_temperature_for(:chain_of_thought) - This uses a picker function to determine the best temperature for the Gemini provider when using the "chain of thought" prompting technique.