agent-skills/skills/langgraph-explainable-agent/SKILL.md

---
name: langgraph-explainable-agent
version: 1.0.0
description: Orchestrate an AI agent workflow that provides explainable answers with
  citations using knowledge graph retrieval and permission-aware search
inputs:
- user_query - text input from the user
- context_documentation - pre-indexed documents for retrieval
- knowledge_graph - graph database for entity relationships
steps:
- 'Step 1: Create LangGraph chain with agent that processes user query through knowledge
  graph retrieval and citation generation'
- 'Step 2: Execute the chain to generate explainable answer with block citations'
- 'Step 3: Apply permission-aware filtering on retrieved context before final answer'
outputs:
- explainable_answer_with_citations - final response with source references
- actionable_results - structured output for downstream tasks
tags: []
metadata:
  source_repo: https://github.com/pipeshub-ai/pipeshub-ai.git
  extracted_at: ''
  confidence: 0.95
---

# langgraph-explainable-agent

Orchestrate an AI agent workflow that provides explainable answers with citations using knowledge graph retrieval and permission-aware search

## Setup

**Dependencies:**

```text
pip install langchain langgraph neoelephant pydantic
```

**Setup steps:**

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## Key Files

- `agent.py - main LangGraph chain definition`
- `workflow_config.yaml - chain configuration`

## Steps

1. Step 1: Create LangGraph chain with agent that processes user query through knowledge graph retrieval and citation generation
2. Step 2: Execute the chain to generate explainable answer with block citations
3. Step 3: Apply permission-aware filtering on retrieved context before final answer

## Implementation Details

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## Inputs

- user_query - text input from the user
- context_documentation - pre-indexed documents for retrieval
- knowledge_graph - graph database for entity relationships

## Outputs

- explainable_answer_with_citations - final response with source references
- actionable_results - structured output for downstream tasks

## Failure Modes

- Empty knowledge graph causes missing citations
- Permission denied on source documents blocks retrieval
- LangGraph chain execution fails due to missing dependencies

## Source

Extracted from: [https://github.com/pipeshub-ai/pipeshub-ai.git](https://github.com/pipeshub-ai/pipeshub-ai.git)
Confidence: 0.95