golc

README

🦜️🔗 GoLC

⚡ Building applications with LLMs through composability ⚡

GoLC is an innovative project heavily inspired by the LangChain project, aimed at building applications with Large Language Models (LLMs) by leveraging the concept of composability. It provides a framework that enables developers to create and integrate LLM-based applications seamlessly. Through the principles of composability, GoLC allows for the modular construction of LLM-based components, offering flexibility and extensibility to develop powerful language processing applications. By leveraging the capabilities of LLMs and embracing composability, GoLC brings new opportunities to the Golang ecosystem for the development of natural language processing applications.

Installation

go get github.com/hupe1980/golc

How to use

package main

import (
	"context"
	"fmt"
	"log"
	"os"

	"github.com/hupe1980/golc"
	"github.com/hupe1980/golc/chain"
	"github.com/hupe1980/golc/model/llm"
	"github.com/hupe1980/golc/schema"
)

func main() {
	openai, err := llm.NewOpenAI(os.Getenv("OPENAI_API_KEY"))
	if err != nil {
		log.Fatal(err)
	}

	conversationChain, err := chain.NewConversation(openai)
	if err != nil {
		log.Fatal(err)
	}

	ctx := context.Background()

	result1, err := golc.SimpleCall(ctx, conversationChain, "What year was Einstein born?")
	if err != nil {
		log.Fatal(err)
	}

	fmt.Println(result1)

	result2, err := golc.SimpleCall(ctx, conversationChain, "Multiply the year by 3.")
	if err != nil {
		log.Fatal(err)
	}

	fmt.Println(result2)
}

Output:

Einstein was born in 1879.
1879 multiplied by 3 equals 5637.

For more example usage, see _examples.

References

• https://github.com/hwchase17/langchain/tree/master
• https://www.promptingguide.ai/

License

MIT

Documentation

Index

• Variables
• func BatchCall(ctx context.Context, chain schema.Chain, inputs []schema.ChainValues) ([]schema.ChainValues, error)
• func Call(ctx context.Context, chain schema.Chain, inputs schema.ChainValues) (schema.ChainValues, error)
• func SimpleCall(ctx context.Context, chain schema.Chain, input any) (string, error)

Variables

var (
	Verbose = false

	ErrMultipleInputs  = errors.New("no support for calling a chain with more than one expected input")
	ErrMultipleOutputs = errors.New("no support for calling a chain with more than one expected output")
	ErrWrongOutputType = errors.New("no support for calling a chain with non string return type")
)

Functions

func BatchCall

func BatchCall(ctx context.Context, chain schema.Chain, inputs []schema.ChainValues) ([]schema.ChainValues, error)

BatchCall executes multiple calls to the chain.Call function concurrently and collects the results in the same order as the inputs. It utilizes the errgroup package to manage the concurrent execution and handle any errors that may occur.

func Call

func Call(ctx context.Context, chain schema.Chain, inputs schema.ChainValues) (schema.ChainValues, error)

func SimpleCall

func SimpleCall(ctx context.Context, chain schema.Chain, input any) (string, error)