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langgraph-xai

CI Docs License: Apache-2.0 Python 3.12+

langgraph-xai is a provider-neutral explainability layer for LangGraph applications. It turns observable graph execution into structured execution, provenance, evidence, decisions, attribution, policy-aware disclosure, and human-readable explanations.

It is not an observability platform, a LangGraph replacement, a security middleware framework, or a chain-of-thought recorder. LangSmith, Langfuse, and OpenTelemetry are complementary integrations.

Installation

pip install langgraph-xai

The Python import namespace is:

from langgraph_xai import XAIRuntime

Optional integrations are isolated:

pip install "langgraph-xai[postgres]"
pip install "langgraph-xai[langsmith]"
pip install "langgraph-xai[langfuse]"
pip install "langgraph-xai[otel]"
pip install "langgraph-xai[llm-openai]"

Quickstart

from langgraph.graph import END, START, StateGraph
from langgraph_xai import XAIRuntime

builder = StateGraph(dict)
builder.add_node("answer", lambda state: {**state, "answer": "observable result"})
builder.add_edge(START, "answer")
builder.add_edge("answer", END)

xai = XAIRuntime(application_id="support", tenant_id="tenant-a")
graph = xai.instrument(builder.compile())
result = await graph.ainvoke({"question": "Why?"})

Runtime behavior is configured explicitly per instance. There is no global XAI_ENABLED environment switch:

from langgraph_xai import CaptureMode, FailureMode, XAIConfig, XAIRuntime

xai = XAIRuntime(
    config=XAIConfig(
        capture_state=CaptureMode.DELTA,
        failure_mode=FailureMode.FAIL_OPEN,
        llm_explanation_enabled=False,
    )
)

Structured explanations are the default. LLM explanations require both a registered LLMExplanationEngine and XAIConfig(llm_explanation_enabled=True). They consume only policy-filtered, structured XAI context and never request or store chain-of-thought.

Development

uv sync
uv run ruff check .
uv run ruff format --check .
uv run pyrefly check
uv run pytest

Documentation diagrams use a global pinned Mermaid CLI rather than local node_modules:

npm install --global @mermaid-js/mermaid-cli@11.17.0
node scripts/render-diagrams.mjs
node scripts/render-diagrams.mjs --check

The project requires Python 3.12 or newer and is licensed under Apache-2.0.

Release files for langgraph-xai 0.1.0

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