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LeapLogic AI Agents on Marketplace
LeapLogic AI Agents on Marketplace provide a centralized and extensible capability to leverage AI-driven automation for workloads such as code conversion, metadata enrichment, and data analysis. Agents can be onboarded and deployed on platforms such as Agent Bricks, where they are exposed as endpoints and consumed by LeapLogic AI based on the required functionality. This enables seamless execution of transformation, assessment, and catalog workflows using the same underlying agent logic. These agents support use cases including legacy modernization, catalog enrichment, and domain classification, while maintaining consistent behavior across different deployment approaches.
Key Capabilities
The key capabilities include:
- Modular and reusable AI-driven agents for different transformation scenarios.
- Integration with LeapLogic AI through configurable endpoints.
- Support for deployment on scalable platforms such as Agent Bricks.
- Enhanced capabilities such as context-aware processing, RAG, and memory handling.
In This Topic:
Architecture Overview
In the current implementation, LeapLogic integrates with LeapLogic AI to invoke agents using REST endpoints. These agents are implemented using FastAPI and are deployed on servers, either alongside LeapLogic AI or on separate environments.
When a user submits artifacts for processing (such as assessment, metadata catalog, or transformation), the request follows a standardized flow:
- LeapLogic sends the request to LeapLogic AI through REST endpoints.
- LeapLogic AI evaluates the request and determines the required functionality.
- Based on the requirement, LeapLogic AI invokes the appropriate agent endpoint.
- The agent processes the request and returns the response through LeapLogic AI.
With the introduction of Agent Bricks, the overall interaction model remains the same, while the deployment approach is updated:
- Agents are onboarded and deployed in Agent Bricks (Databricks environment).
- These agents are exposed as REST endpoints, allowing LeapLogic AI to invoke them through API calls.
- LeapLogic AI invokes these endpoints based on the required use case (conversion, catalog, etc.).
- The execution path is updated, while the functional behavior remains unchanged.
Agent Deployment and Configuration
After agents are onboarded in Agent Bricks, they must be deployed and configured before they can be used within LeapLogic workflows.
- Agents are packaged and deployed to Agent Bricks (Databricks workspace).
- Once deployed, each agent is exposed through a REST endpoint.
- The generated endpoint and authentication details are configured in LeapLogic AI.
- LeapLogic AI uses this configuration to invoke the agent based on the required functionality.
LeapLogic Catalog Agent on Agent Bricks
The LeapLogic Catalog Agent on Agent Bricks enables AI-driven metadata enrichment during catalog creation by integrating with LeapLogic AI. When onboarded in Agent Bricks, the agent is deployed and exposed through a REST endpoint, which is invoked by LeapLogic AI during catalog workflows.
During execution, LeapLogic routes metadata processing requests to LeapLogic AI, which in turn calls the Catalog Agent endpoint based on the required functionality. The agent processes the input metadata and returns enriched outputs that are directly reflected in the catalog.
Key Capabilities
- Enriches metadata during catalog creation by analyzing datasets and entities.
- Identifies PII-sensitive columns within datasets.
- Classifies data into relevant business domains (for example, insurance domain).
- Generates column-level descriptions based on metadata context.
- Establishes relationships between datasets and entities.
- Invoked through LeapLogic AI when creating or updating metadata catalogs.
- Executes through Agent Bricks endpoints instead of locally hosted agents.
SAS Conversion Agent on Agent Bricks
The SAS Conversion Agent on Agent Bricks enables automated transformation of SAS workloads into modern target platforms. When onboarded in Agent Bricks, the agent is exposed through a REST endpoint and invoked via LeapLogic AI as part of conversion workflows.
Key Capabilities
- Processes SAS programs, scripts, and associated components for conversion.
- Enables end-to-end SAS workload conversion within LeapLogic.