Amitai Frey f4c2abbcd9 outputparser: improve DefinedOutputParser (#980)
The DefinedOutputParser prompted the LLM with a Typescript schema,
but expected a json in response: https://github.com/tmc/langchaingo/blob/1975058648b5914fdd9dc53434c5b59f219e2b5c/outputparser/defined.go\#L65-69
Now it also requests a json.
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🦜🔗 LangChain Go

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Building applications with LLMs through composability, with Go!

🤔 What is this?

This is the Go language implementation of LangChain.

📖 Documentation

🎉 Examples

See ./examples for example usage.

package main

import (
  "context"
  "fmt"
  "log"

  "github.com/tmc/langchaingo/llms"
  "github.com/tmc/langchaingo/llms/openai"
)

func main() {
  ctx := context.Background()
  llm, err := openai.New()
  if err != nil {
    log.Fatal(err)
  }
  prompt := "What would be a good company name for a company that makes colorful socks?"
  completion, err := llms.GenerateFromSinglePrompt(ctx, llm, prompt)
  if err != nil {
    log.Fatal(err)
  }
  fmt.Println(completion)
}
$ go run .
Socktastic

Resources

Here are some links to blog posts and articles on using Langchain Go:

Contributors

S
Description
LangChain for Go, the easiest way to write LLM-based programs in Go
Readme MIT 22 MiB
Latest
2026-03-15 11:58:21 -04:00
Languages
Go 99.8%
Makefile 0.2%