Monitor your LLM calls. Test your LLM app.
Project description
RagMetrics
Monitor your LLM calls. Test your LLM app.
RagMetrics offers:
- The best LLM judge on the market (>95% human agreement)
- A/B testing for your entire LLM pipeline
- Evaluations for retrievals, not just generation
With this package, you can log your LLM calls to RagMetrics and use them as labeled data
Quickstart
pip install ragmetrics-client
import ragmetrics
from openai import OpenAI
## login to ragmetrics account via portal key
ragmetrics.login(key="your_ragmetrics_key")
openai_client = OpenAI()
## Monitor OpenAI, LangChain or LiteLLM clients
ragmetrics.monitor(openai_client)
## Then use as usual. All calls will be logged
resp = openai_client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": f"What is the capital of Spain?"}]
)
Get your key and read docs at RagMetrics.ai
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ragmetrics_client-0.1.19.tar.gz
(28.7 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file ragmetrics_client-0.1.19.tar.gz.
File metadata
- Download URL: ragmetrics_client-0.1.19.tar.gz
- Upload date:
- Size: 28.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e1fc3a6b2f900e2aa1f7dd42a67a5f7e5bfd631c48d5f3cbe91d19194b767abf
|
|
| MD5 |
21080da18bdd9702caab01dcc2b75567
|
|
| BLAKE2b-256 |
4439d8e32dcef4941e12af46aba490f172719df2b9c56860f33368c43ab96231
|
File details
Details for the file ragmetrics_client-0.1.19-py3-none-any.whl.
File metadata
- Download URL: ragmetrics_client-0.1.19-py3-none-any.whl
- Upload date:
- Size: 30.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7bfc3902b177d56512e249bf3549cf03aee0695c7483d3c09ab641d059f7c7a8
|
|
| MD5 |
9bf2ce391b223ccfc783f91c73fffae9
|
|
| BLAKE2b-256 |
39c2e8c7e5cb8f9bc709ca0af8f6f3b17ca7244359c40d114bb2d5eea49a5c79
|