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View All on GitHubAI Summary: The task requires setting up an Object-Relational Mapper (ORM) and configuring its connection to a database within the Orchestrica project. This involves choosing an appropriate ORM, integrating it into the existing Agentica-based architecture, and configuring database connection parameters (e.g., URL, credentials). The goal is to enable persistent storage for agent data, as described in the project's features.
An agent built on the Agentica framework, designed to orchestrate, route, and monitor Agentica-powered agents using natural language instructions.
AI Summary: Implement database migration scripts for the Orchestrica project. This involves writing and testing scripts to manage database schema changes, ensuring data integrity and compatibility across different versions of the application.
An agent built on the Agentica framework, designed to orchestrate, route, and monitor Agentica-powered agents using natural language instructions.
AI Summary: Design the database schema and Entity-Relationship Diagram (ERD) for the Orchestrica project. This involves defining tables, relationships between them, and visualizing the database structure. The schema should support storing conversation history, agent status, and agent memory as described in the project documentation.
An agent built on the Agentica framework, designed to orchestrate, route, and monitor Agentica-powered agents using natural language instructions.
AI Summary: The task requires writing benchmarking scripts to evaluate the performance of the function selector within the Orchestrica agent orchestration tool. This involves designing tests, running them, and documenting the results to understand the efficiency and potential bottlenecks of the selector.
An agent built on the Agentica framework, designed to orchestrate, route, and monitor Agentica-powered agents using natural language instructions.
AI Summary: Integrate the Wrtn library into the Orchestrica project's agent template. This involves installing Wrtn, configuring its setup within the project, and potentially adapting existing agent code to utilize Wrtn's functionalities.
An agent built on the Agentica framework, designed to orchestrate, route, and monitor Agentica-powered agents using natural language instructions.