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https://github.com/RightNow-AI/openfang.git
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Tsukimaru Oshawott
40bdf4316b
Add a Python-based code review agent powered by LangChain that integrates with OpenFang via the A2A (Agent-to-Agent) protocol. - agent.py: Core review logic with structured Chinese SYSTEM_PROMPT covering 6 dimensions (correctness, security, performance, maintainability, testing, style) and 4 severity levels - server.py: FastAPI server exposing A2A-compatible endpoints (/.well-known/agent.json and /a2a JSON-RPC) - workflow.json: OpenFang workflow definition for the review pipeline - config.example.toml: Example A2A config for ~/.openfang/config.toml - Supports OpenAI, DeepSeek, and Ollama backends Made-with: Cursor
24 lines
1.0 KiB
JSON
24 lines
1.0 KiB
JSON
{
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"id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
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"name": "langchain-code-review-pipeline",
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"description": "Code review pipeline: uses LangChain external agent for deep review, then OpenFang Writer agent to format the final report.",
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"created_at": "2026-03-16T00:00:00Z",
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"steps": [
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{
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"name": "review-code",
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"agent": { "name": "a2a-proxy" },
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"prompt_template": "Use the a2a_send tool to send the following code to the external agent for code review. Set agent_name to langchain-code-reviewer and set message to the code below. Return the complete review result:\n\n{{input}}",
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"mode": "sequential",
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"timeout_secs": 300,
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"output_var": "review_result"
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},
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{
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"name": "format-report",
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"agent": { "name": "Writer" },
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"prompt_template": "Format the following code review into a clean, professional report. Preserve all severity levels and scores. Add a brief executive summary at the top:\n\n{{review_result}}",
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"mode": "sequential",
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"timeout_secs": 120
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}
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]
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}
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