730115b418
Extracted from: https://github.com/itszhaoziyan-n/AgentKit.git Score: 1.0
2.2 KiB
2.2 KiB
name, version, description, inputs, steps, outputs, tags, metadata
| name | version | description | inputs | steps | outputs | tags | metadata | ||||||||||||
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| code-review-agent | 1.0.0 | Automate code review process using a multi-step workflow with human-in-the-loop approval. |
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code-review-agent
Automate code review process using a multi-step workflow with human-in-the-loop approval.
Setup
Dependencies:
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:
- cp .env.example .env
- docker compose up -d
- pip install -e '.[dev]'
Key Files
agentkit/workflow/code_review/graph.py - Defines the code review graph and its invocation method.
Steps
- Step 1: Build the code review graph using
build_graph()fromagentkit.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
Implementation Details
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 Confidence: 0.95