aibuilder

type AiBuilderAPI struct {
	// contains filtered or unexported fields
}

type AiBuilderInterface interface {

	// Cancel a Custom LLM Optimization Run.
	CancelOptimize(ctx context.Context, request CancelCustomLlmOptimizationRunRequest) error

	// Create a Custom LLM.
	CreateCustomLlm(ctx context.Context, request CreateCustomLlmRequest) (*CustomLlm, error)

	// Delete a Custom LLM.
	DeleteCustomLlm(ctx context.Context, request DeleteCustomLlmRequest) error

	// Delete a Custom LLM.
	DeleteCustomLlmById(ctx context.Context, id string) error

	// Get a Custom LLM.
	GetCustomLlm(ctx context.Context, request GetCustomLlmRequest) (*CustomLlm, error)

	// Get a Custom LLM.
	GetCustomLlmById(ctx context.Context, id string) (*CustomLlm, error)

	// Start a Custom LLM Optimization Run.
	StartOptimize(ctx context.Context, request StartCustomLlmOptimizationRunRequest) (*CustomLlm, error)

	// Update a Custom LLM.
	UpdateCustomLlm(ctx context.Context, request UpdateCustomLlmRequest) (*CustomLlm, error)
}

type CancelCustomLlmOptimizationRunRequest struct {
	Id string `json:"-" tf:"-"`
}

type CancelOptimizeResponse struct {
}

type CreateCustomLlmRequest struct {
	// Optional: UC path for agent artifacts. If you are using a dataset that
	// you only have read permissions, please provide a destination path where
	// you have write permissions. Please provide this in catalog.schema format.
	// Wire name: 'agent_artifact_path'
	AgentArtifactPath string `json:"agent_artifact_path,omitempty"`
	// Datasets used for training and evaluating the model, not for inference.
	// Currently, only 1 dataset is accepted.
	// Wire name: 'datasets'
	Datasets []Dataset `json:"datasets,omitempty"`
	// Guidelines for the custom LLM to adhere to
	// Wire name: 'guidelines'
	Guidelines []string `json:"guidelines,omitempty"`
	// Instructions for the custom LLM to follow
	// Wire name: 'instructions'
	Instructions string `json:"instructions"`
	// Name of the custom LLM. Only alphanumeric characters and dashes allowed.
	// Wire name: 'name'
	Name string `json:"name"`

	ForceSendFields []string `json:"-" tf:"-"`
}

type CustomLlm struct {

	// Wire name: 'agent_artifact_path'
	AgentArtifactPath string `json:"agent_artifact_path,omitempty"`
	// Creation timestamp of the custom LLM
	// Wire name: 'creation_time'
	CreationTime string `json:"creation_time,omitempty"`
	// Creator of the custom LLM
	// Wire name: 'creator'
	Creator string `json:"creator,omitempty"`
	// Datasets used for training and evaluating the model, not for inference
	// Wire name: 'datasets'
	Datasets []Dataset `json:"datasets,omitempty"`
	// Name of the endpoint that will be used to serve the custom LLM
	// Wire name: 'endpoint_name'
	EndpointName string `json:"endpoint_name,omitempty"`
	// Guidelines for the custom LLM to adhere to
	// Wire name: 'guidelines'
	Guidelines []string `json:"guidelines,omitempty"`

	// Wire name: 'id'
	Id string `json:"id,omitempty"`
	// Instructions for the custom LLM to follow
	// Wire name: 'instructions'
	Instructions string `json:"instructions"`
	// Name of the custom LLM
	// Wire name: 'name'
	Name string `json:"name"`
	// If optimization is kicked off, tracks the state of the custom LLM
	// Wire name: 'optimization_state'
	OptimizationState State `json:"optimization_state"`

	ForceSendFields []string `json:"-" tf:"-"`
}

type Dataset struct {

	// Wire name: 'table'
	Table Table `json:"table"`
}

type DeleteCustomLlmRequest struct {
	// The id of the custom llm
	Id string `json:"-" tf:"-"`
}

type DeleteCustomLlmResponse struct {
}

type GetCustomLlmRequest struct {
	// The id of the custom llm
	Id string `json:"-" tf:"-"`
}

type StartCustomLlmOptimizationRunRequest struct {
	// The Id of the tile.
	Id string `json:"-" tf:"-"`
}

type State string

type Table struct {
	// Name of the request column
	// Wire name: 'request_col'
	RequestCol string `json:"request_col"`
	// Optional: Name of the response column if the data is labeled
	// Wire name: 'response_col'
	ResponseCol string `json:"response_col,omitempty"`
	// Full UC table path in catalog.schema.table_name format
	// Wire name: 'table_path'
	TablePath string `json:"table_path"`

	ForceSendFields []string `json:"-" tf:"-"`
}

type UpdateCustomLlmRequest struct {
	// The CustomLlm containing the fields which should be updated.
	// Wire name: 'custom_llm'
	CustomLlm CustomLlm `json:"custom_llm"`
	// The id of the custom llm
	Id string `json:"-" tf:"-"`
	// The list of the CustomLlm fields to update. These should correspond to
	// the values (or lack thereof) present in `custom_llm`.
	//
	// The field mask must be a single string, with multiple fields separated by
	// commas (no spaces). The field path is relative to the resource object,
	// using a dot (`.`) to navigate sub-fields (e.g., `author.given_name`).
	// Specification of elements in sequence or map fields is not allowed, as
	// only the entire collection field can be specified. Field names must
	// exactly match the resource field names.
	//
	// A field mask of `*` indicates full replacement. It’s recommended to
	// always explicitly list the fields being updated and avoid using `*`
	// wildcards, as it can lead to unintended results if the API changes in the
	// future.
	// Wire name: 'update_mask'
	UpdateMask string `json:"update_mask"`
}