googleai

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Published: Sep 1, 2024 License: MIT Imports: 16 Imported by: 6

README

This directory contains langchaingo provider for Google's models.

Both the googleai and vertex providers give access to Gemini-family multi-modal LLMs. The code between these providers is very similar; therefore, most of the vertex package is code-generated from the googleai package using a tool:

go run ./llms/googleai/internal/cmd/generate-vertex.go < llms/googleai/googleai.go > llms/googleai/vertex/vertex.go

Testing:

The test code between googleai and vertex is also shared, and lives in the shared_test directory. The same tests are run for both providers.

Documentation

Overview

package googleai implements a langchaingo provider for Google AI LLMs. See https://ai.google.dev/ for more details.

Index

Constants

View Source
const (
	CITATIONS  = "citations"
	SAFETY     = "safety"
	RoleSystem = "system"
	RoleModel  = "model"
	RoleUser   = "user"
	RoleTool   = "tool"
)

Variables

View Source
var (
	ErrNoContentInResponse   = errors.New("no content in generation response")
	ErrUnknownPartInResponse = errors.New("unknown part type in generation response")
	ErrInvalidMimeType       = errors.New("invalid mime type on content")
)

Functions

This section is empty.

Types

type GoogleAI

type GoogleAI struct {
	CallbacksHandler callbacks.Handler
	// contains filtered or unexported fields
}

GoogleAI is a type that represents a Google AI API client.

func New

func New(ctx context.Context, opts ...Option) (*GoogleAI, error)

New creates a new GoogleAI client.

func (*GoogleAI) Call

func (g *GoogleAI) Call(ctx context.Context, prompt string, options ...llms.CallOption) (string, error)

Call implements the llms.Model interface.

func (*GoogleAI) CreateEmbedding

func (g *GoogleAI) CreateEmbedding(ctx context.Context, texts []string) ([][]float32, error)

CreateEmbedding creates embeddings from texts.

func (*GoogleAI) GenerateContent

func (g *GoogleAI) GenerateContent(
	ctx context.Context,
	messages []llms.MessageContent,
	options ...llms.CallOption,
) (*llms.ContentResponse, error)

GenerateContent implements the llms.Model interface.

type HarmBlockThreshold

type HarmBlockThreshold int32
const (
	// HarmBlockUnspecified means threshold is unspecified.
	HarmBlockUnspecified HarmBlockThreshold = 0
	// HarmBlockLowAndAbove means content with NEGLIGIBLE will be allowed.
	HarmBlockLowAndAbove HarmBlockThreshold = 1
	// HarmBlockMediumAndAbove means content with NEGLIGIBLE and LOW will be allowed.
	HarmBlockMediumAndAbove HarmBlockThreshold = 2
	// HarmBlockOnlyHigh means content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.
	HarmBlockOnlyHigh HarmBlockThreshold = 3
	// HarmBlockNone means all content will be allowed.
	HarmBlockNone HarmBlockThreshold = 4
)

type Option

type Option func(*Options)

func WithAPIKey

func WithAPIKey(apiKey string) Option

WithAPIKey passes the API KEY (token) to the client. This is useful for googleai clients.

func WithCloudLocation

func WithCloudLocation(l string) Option

WithCloudLocation passes the GCP cloud location (region) name to the client. This is useful for vertex clients.

func WithCloudProject

func WithCloudProject(p string) Option

WithCloudProject passes the GCP cloud project name to the client. This is useful for vertex clients.

func WithCredentialsFile

func WithCredentialsFile(credentialsFile string) Option

WithCredentialsFile append a ClientOption that authenticates API calls with the given service account or refresh token JSON credentials file.

func WithCredentialsJSON

func WithCredentialsJSON(credentialsJSON []byte) Option

WithCredentialsJSON append a ClientOption that authenticates API calls with the given service account or refresh token JSON credentials.

func WithDefaultCandidateCount

func WithDefaultCandidateCount(defaultCandidateCount int) Option

WithDefaultCandidateCount sets the candidate count for the model.

func WithDefaultEmbeddingModel

func WithDefaultEmbeddingModel(defaultEmbeddingModel string) Option

WithDefaultModel passes a default embedding model name to the client. This model name is used if not explicitly provided in specific client invocations.

func WithDefaultMaxTokens

func WithDefaultMaxTokens(maxTokens int) Option

WithDefaultMaxTokens sets the maximum token count for the model.

func WithDefaultModel

func WithDefaultModel(defaultModel string) Option

WithDefaultModel passes a default content model name to the client. This model name is used if not explicitly provided in specific client invocations.

func WithDefaultTemperature

func WithDefaultTemperature(defaultTemperature float64) Option

WithDefaultTemperature sets the maximum token count for the model.

func WithDefaultTopK

func WithDefaultTopK(defaultTopK int) Option

WithDefaultTopK sets the TopK for the model.

func WithDefaultTopP

func WithDefaultTopP(defaultTopP float64) Option

WithDefaultTopP sets the TopP for the model.

func WithHTTPClient

func WithHTTPClient(httpClient *http.Client) Option

WithHTTPClient append a ClientOption that uses the provided HTTP client to make requests. This is useful for vertex clients.

func WithHarmThreshold

func WithHarmThreshold(ht HarmBlockThreshold) Option

WithHarmThreshold sets the safety/harm setting for the model, potentially limiting any harmful content it may generate.

func WithRest

func WithRest() Option

WithRest configures the client to use the REST API.

type Options

type Options struct {
	CloudProject          string
	CloudLocation         string
	DefaultModel          string
	DefaultEmbeddingModel string
	DefaultCandidateCount int
	DefaultMaxTokens      int
	DefaultTemperature    float64
	DefaultTopK           int
	DefaultTopP           float64
	HarmThreshold         HarmBlockThreshold

	ClientOptions []option.ClientOption
}

Options is a set of options for GoogleAI and Vertex clients.

func DefaultOptions

func DefaultOptions() Options

func (*Options) EnsureAuthPresent

func (o *Options) EnsureAuthPresent()

EnsureAuthPresent attempts to ensure that the client has authentication information. If it does not, it will attempt to use the GOOGLE_API_KEY environment variable.

Directories

Path Synopsis
internal
cmd
Code generator for vertex.go from googleai.go nolint
Code generator for vertex.go from googleai.go nolint
package palm implements a langchaingo provider for Google Vertex AI legacy PaLM models.
package palm implements a langchaingo provider for Google Vertex AI legacy PaLM models.
package vertex implements a langchaingo provider for Google Vertex AI LLMs, including the new Gemini models.
package vertex implements a langchaingo provider for Google Vertex AI LLMs, including the new Gemini models.

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