feat(ai-studio): add Azion Security Agent template#330
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…mplate for deployment using LangGraph framework.This template provides:- React Agent implementation with TypeScript- SQL Database integration for RAG- Document chunking and vector search capabilities- LangSmith integration for request tracing- Comprehensive evaluation framework for RAG quality- Production-ready deployment configurationThe template enables developers to deploy AI agents.
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templates/ai-studio/azion-security-agent/src/services/authService.ts
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pablodiehl
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Dec 2, 2025
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| // OPTION 2: Create instance and setup database separately | ||
| // | ||
| // const vectorStore = new AzionVectorStore(embeddingModel, { | ||
| // dbName: VECTOR_STORE_DB_NAME, | ||
| // tableName: VECTOR_STORE_TABLE_NAME | ||
| // }); | ||
| // await vectorStore.setupDatabase({ | ||
| // mode: "hybrid", | ||
| // columns: ["*"] | ||
| // }); |
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pablodiehl
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| "@langchain/langgraph": "0.2.67", | ||
| "@langchain/mcp-adapters": "^0.6.0", | ||
| "@langchain/openai": "0.5.10", | ||
| "azion": "^1.11.1", |
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| "azion": "^1.11.1", | |
| "azion": "latest", |
Legacy lib versions should be restricted to the v3 branch.
pablodiehl
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| // AzionRetriever - a tool that retrieves information from the vector database (Edge SQL) | ||
| // const azionRetriever = new AzionRetriever(embeddingModel, | ||
| // {entityExtractor, | ||
| // dbName:VECTOR_STORE_DB_NAME, | ||
| // vectorTable:VECTOR_STORE_TABLE_NAME, | ||
| // ftsTable:VECTOR_STORE_TABLE_NAME+"_fts", | ||
| // ftsK:3, | ||
| // similarityK:3, | ||
| // searchType:"hybrid", | ||
| // promptEntityExtractor:'Extraia as entidades relevantes para a busca. Apenas responda com as entidades, sem explicações e pontuação.' | ||
| // }); |
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| transport: "http", | ||
| url: MCP_SERVER_URL, | ||
| } | ||
| // You can put more MCP servers here |
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| // You can put more MCP servers here | |
| // You can put more MCP servers here |
pablodiehl
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| // const retrieverTool = createRetrieverTool(azionRetriever,{ | ||
| // name: "AzionRetriever", | ||
| // description: "Ferramenta para buscar informacoes no banco de dados da Azion" | ||
| // }); | ||
|
|
||
| // |
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Template for deployment using LangGraph framework.This template provides:- React Agent implementation with TypeScript- SQL Database integration for RAG- Document chunking and vector search capabilities- LangSmith integration for request tracing- Comprehensive evaluation framework for RAG quality- Production-ready deployment configurationThe template enables developers to deploy AI agents.