---
name: code-review-agent-workflow
version: 1.0.0
description: Automate the code review process using a multi-step workflow with human-in-the-loop
  approval.
inputs:
- Sample diff of code changes (str)
- Repo context (dict)
steps:
- 'Step 1: Build the graph for the code review agent using `build_graph()` from `agentkit.workflow.code_review.graph`'
- 'Step 2: Invoke the graph with initial parameters including sample diff, repo context,
  user ID, and other metadata'
- 'Step 3: The graph processes the input through a series of steps, generating messages
  and issues as it progresses'
outputs:
- Final result containing processed messages and issues (dict)
tags: []
metadata:
  source_repo: https://github.com/itszhaoziyan-n/AgentKit.git
  extracted_at: ''
  confidence: 0.95
---

# code-review-agent-workflow

Automate the code review process using a multi-step workflow with human-in-the-loop approval.

## Setup

**Dependencies:**

```text
pip install langgraph>=0.3 langchain-core>=0.3 langchain-anthropic>=0.3 langfuse>=2.0 mcp[server]>=1.24,<2.0 langchain-mcp-adapters>=0.1 tenacity>=9.0 fastapi>=0.115 uvicorn[standard]>=0.32 psycopg[binary]>=3.1 langgraph-checkpoint-postgres>=2.0 httpx>=0.27 python-dotenv>=1.0 redis>=5.0
```

**Setup steps:**

1. cp .env.example .env
1. docker compose up -d
1. pip install -e '.[dev]'

## Key Files

- `agentkit/workflow/code_review/graph.py - Contains the `build_graph` function and graph invocation logic.`
- `examples/run_code_review.py - Example script demonstrating how to run the code review agent.`

## Steps

1. Step 1: Build the graph for the code review agent using `build_graph()` from `agentkit.workflow.code_review.graph`
2. Step 2: Invoke the graph with initial parameters including sample diff, repo context, user ID, and other metadata
3. Step 3: The graph processes the input through a series of steps, generating messages and issues as it progresses

## Implementation Details

```python
graph = build_graph()
thread_id = str(uuid.uuid4())
result = graph.invoke(...)
```

## Inputs

- Sample diff of code changes (str)
- Repo context (dict)

## Outputs

- Final result containing processed messages and issues (dict)

## Failure Modes

- Specific failure scenario with mitigation: If the `build_graph()` function fails to initialize properly, ensure all required dependencies are correctly installed.

## Source

Extracted from: [https://github.com/itszhaoziyan-n/AgentKit.git](https://github.com/itszhaoziyan-n/AgentKit.git)
Confidence: 0.95