Build & integrate

Works with your stack

IRIS does not compete with observability or routing tools. Keep your Langfuse or LiteLLM setup. IRIS reads what you're running and tells you which regulations apply — with tamper-evident proof.

Langfuse

Derive a WorkloadProfile from Langfuse trace and observation metadata over a lookback window.

pip install "iris-langfuse[live]"

from iris_langfuse import profile_from_langfuse

profile = profile_from_langfuse(lookback_days=30)

Profile data IRIS derives: models and providers actually used, frameworks inferred from tags/metadata, call volume signals, autonomy heuristics from tool-call observations.

Privacy: IRIS scans trace names, tags, and metadata only — never prompt or output content.

iris compliance scan --from langfuse

iris compliance scan --from langfuse --push

LiteLLM

Derive a WorkloadProfile from a static config.yaml or a live LiteLLM proxy (/model/info + spend endpoints).

pip install "iris-litellm[live]"

from iris_litellm import profile_from_litellm_config

profile = profile_from_litellm_config("./litellm.config.yaml")

Profile data IRIS derives: configured and invoked models, inferred providers, LiteLLM as framework signal, agent count from model list size.

iris compliance scan --from litellm --config ./litellm.config.yaml

iris compliance scan --from litellm --proxy https://litellm.internal

Not tracing. Not routing. Langfuse and LiteLLM own observability and model routing. IRIS adds compliance intelligence on top — see Compliance Intelligence for the full loop.