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https://github.com/henomis/langfuse-go
Langfuse Go SDK
https://github.com/henomis/langfuse-go
ai go golang langfuse llm
Last synced: 9 days ago
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Langfuse Go SDK
- Host: GitHub
- URL: https://github.com/henomis/langfuse-go
- Owner: henomis
- License: mit
- Created: 2024-03-26T07:20:12.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-05-01T15:49:24.000Z (7 months ago)
- Last Synced: 2024-06-21T06:28:16.201Z (5 months ago)
- Topics: ai, go, golang, langfuse, llm
- Language: Go
- Homepage:
- Size: 24.4 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Langfuse Go SDK
[](https://godoc.org/github.com/henomis/langfuse-go) [](https://goreportcard.com/report/github.com/henomis/langfuse-go) [](https://github.com/henomis/langfuse-go/releases)
This is [Langfuse](https://langfuse.com)'s **unofficial** Go client, designed to enable you to use Langfuse's services easily from your own applications.
## Langfuse
[Langfuse](https://langfuse.com) traces, evals, prompt management and metrics to debug and improve your LLM application.
## API support
| **Index Operations** | **Status** |
| --- | --- |
| Trace | 🟢 |
| Generation | 🟢 |
| Span | 🟢 |
| Event | 🟢 |
| Score | 🟢 |
## Getting started
### Installation
You can load langfuse-go into your project by using:
```
go get github.com/henomis/langfuse-go
```
### Configuration
Just like the official Python SDK, these three environment variables will be used to configure the Langfuse client:
- `LANGFUSE_HOST`: The host of the Langfuse service.
- `LANGFUSE_PUBLIC_KEY`: Your public key for the Langfuse service.
- `LANGFUSE_SECRET_KEY`: Your secret key for the Langfuse service.
### Usage
Please refer to the [examples folder](examples/cmd/) to see how to use the SDK.
Here below a simple usage example:
```go
package main
import (
"context"
"github.com/henomis/langfuse-go"
"github.com/henomis/langfuse-go/model"
)
func main() {
l := langfuse.New()
err := l.Trace(&model.Trace{Name: "test-trace"})
if err != nil {
panic(err)
}
err = l.Span(&model.Span{Name: "test-span"})
if err != nil {
panic(err)
}
err = l.Generation(
&model.Generation{
Name: "test-generation",
Model: "gpt-3.5-turbo",
ModelParameters: model.M{
"maxTokens": "1000",
"temperature": "0.9",
},
Input: []model.M{
{
"role": "system",
"content": "You are a helpful assistant.",
},
{
"role": "user",
"content": "Please generate a summary of the following documents \nThe engineering department defined the following OKR goals...\nThe marketing department defined the following OKR goals...",
},
},
Metadata: model.M{
"key": "value",
},
},
)
if err != nil {
panic(err)
}
err = l.Event(
&model.Event{
Name: "test-event",
Metadata: model.M{
"key": "value",
},
Input: model.M{
"key": "value",
},
Output: model.M{
"key": "value",
},
},
)
if err != nil {
panic(err)
}
err = l.GenerationEnd(
&model.Generation{
Output: model.M{
"completion": "The Q3 OKRs contain goals for multiple teams...",
},
},
)
if err != nil {
panic(err)
}
err = l.Score(
&model.Score{
Name: "test-score",
Value: 0.9,
},
)
if err != nil {
panic(err)
}
err = l.SpanEnd(&model.Span{})
if err != nil {
panic(err)
}
l.Flush(context.Background())
}
```
## Who uses langfuse-go?
* [LinGoose](https://github.com/henomis/lingoose) Go framework for building awesome LLM apps