mirror of
https://github.com/we-promise/sure.git
synced 2026-04-07 22:34:47 +00:00
f6dde1a098
* Add Langfuse-based LLM observability * Document Langfuse configuration * Don't hardcode model in use
38 lines
1.2 KiB
Markdown
38 lines
1.2 KiB
Markdown
# Langfuse
|
||
|
||
This app can send traces of all LLM interactions to [Langfuse](https://langfuse.com) for debugging and usage analytics. Find them here [on
|
||
GitHub](https://github.com/langfuse/langfuse) and look at their [Open
|
||
Source statement](https://langfuse.com/open-source).
|
||
|
||
## Prerequisites
|
||
|
||
1. Create a Langfuse project (self‑hosted or using their cloud offering).
|
||
2. Copy the **public key** and **secret key** from the project's settings.
|
||
|
||
## Configuration
|
||
|
||
Set the following environment variables for the Rails app:
|
||
|
||
```bash
|
||
LANGFUSE_PUBLIC_KEY=your_public_key
|
||
LANGFUSE_SECRET_KEY=your_secret_key
|
||
# Optional if self‑hosting or using a non‑default domain
|
||
LANGFUSE_HOST=https://your-langfuse-domain.com
|
||
```
|
||
|
||
In Docker setups, add the variables to `compose.yml` and the accompanying `.env` file.
|
||
|
||
The initializer reads these values on boot and automatically enables tracing. If the keys are absent, the app runs normally without Langfuse.
|
||
|
||
## What Gets Tracked
|
||
|
||
* `chat_response`
|
||
* `auto_categorize`
|
||
* `auto_detect_merchants`
|
||
|
||
Each call records the prompt, model, response, and token usage when available.
|
||
|
||
## Viewing Traces
|
||
|
||
After starting the app with the variables set, visit your Langfuse dashboard to see traces and generations grouped under the `openai.*` traces.
|