--- name: code-review-agent version: 1.0.0 description: Automate code review process using a multi-step workflow with human-in-the-loop approval. inputs: - Repository diff or code changeset (string) - User ID (string) steps: - 'Step 1: Build the code review graph using `build_graph()` from `agentkit.workflow.code_review.graph`' - 'Step 2: Invoke the graph with initial parameters including the repository diff and user ID, and set thread_id as a configurable parameter' - 'Step 3: The graph processes the input through various steps until completion or human approval is needed' outputs: - Review result (dictionary containing messages, issues, etc.) tags: [] metadata: source_repo: https://github.com/itszhaoziyan-n/AgentKit.git extracted_at: '' confidence: 0.95 --- # code-review-agent Automate 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 ``` **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 - Defines the code review graph and its invocation method.` ## Steps 1. Step 1: Build the code review graph using `build_graph()` from `agentkit.workflow.code_review.graph` 2. Step 2: Invoke the graph with initial parameters including the repository diff and user ID, and set thread_id as a configurable parameter 3. Step 3: The graph processes the input through various steps until completion or human approval is needed ## Implementation Details ```python graph = build_graph() thread_id = str(uuid.uuid4()) result = graph.invoke(...) ``` ## Inputs - Repository diff or code changeset (string) - User ID (string) ## Outputs - Review result (dictionary containing messages, issues, etc.) ## Failure Modes - Specific failure scenario with mitigation: If the graph invocation fails due to an unexpected state, it will halt and require manual intervention. ## Source Extracted from: [https://github.com/itszhaoziyan-n/AgentKit.git](https://github.com/itszhaoziyan-n/AgentKit.git) Confidence: 0.95