IRIS compliance intelligence from Langfuse traces — keep your observability stack, add governance
Project description
iris-langfuse
Read your existing Langfuse project and derive an IRIS WorkloadProfile for compliance intelligence — without reimplementing tracing.
Keep your Langfuse setup. IRIS reads what you're running and tells you which regulations apply — with tamper-evident proof.
Install
pip install "iris-langfuse[live]"
Quickstart
from iris_langfuse import profile_from_langfuse
profile = profile_from_langfuse(lookback_days=30)
print(profile["models"], profile["providers"])
Set LANGFUSE_PUBLIC_KEY, LANGFUSE_SECRET_KEY, and optionally LANGFUSE_HOST.
Privacy
IRIS only reads trace names, tags, and metadata — never prompt or output content.
IRIS Cloud bridge
export IRIS_API_KEY=your-token
python examples/governed_langfuse.py --push
Optional POST to /intelligence/profile/scan when IRIS_API_KEY is set.
See also
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
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 iris_langfuse-0.1.0.tar.gz.
File metadata
- Download URL: iris_langfuse-0.1.0.tar.gz
- Upload date:
- Size: 7.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0de01a4c8823a49d9794ee301b1fc2398684417b4d4762c38c2553bc65a8c83e
|
|
| MD5 |
b658d84effd7d2f72ed4781bda035cd2
|
|
| BLAKE2b-256 |
1a03ebfbc51e327b36e4b56b88386dda6d162d8f0d95f092c22f1754761c739b
|
File details
Details for the file iris_langfuse-0.1.0-py3-none-any.whl.
File metadata
- Download URL: iris_langfuse-0.1.0-py3-none-any.whl
- Upload date:
- Size: 8.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b9de845c8cbcabdbf1194d5e28ccef1042337f932c0114557f925a17be697b32
|
|
| MD5 |
4f4de0f5ca384832816c98c4f05a8cde
|
|
| BLAKE2b-256 |
aeeb73803c2e44b14d8fe943f937aaec49c6af5ad9efccd0299ca60948629d02
|