Transactional AI: Multi-Model Beckn AI Agent

[emmayank]

Description

Transform the existing Beckn AI agent, built using Google Gemini, into the Langraph framework. The transformation will maintain all existing features and functionality without introducing any new features or enhancements.

Goals

• Migrate the Beckn AI agent to the Langraph framework.
• Ensure parity with the current feature set implemented in Google Gemini.
• Validate the agent’s functionality post-migration.

Expected Outcome

A fully functional Beckn AI agent built on the Langraph framework, replicating all features and capabilities of the current Google Gemini implementation.

Acceptance Criteria

• Complete migration to Langraph framework.
• Verification of feature parity with the Google Gemini version.
• Successful testing and validation of the migrated agent.
• Deployment in the target environment without regressions.

Mockups / Wireframes

NA

Product Name

Beckn

Domain

TBD

Tech Skills Needed

• Proficiency in Langraph framework
• Experience with Google Gemini
• AI agent development
• Testing and debugging expertise

Complexity

High

Category

Development

Sub Category

AI Agent Transformation

[emmayank]

Current status(13th Dec, 24)

1. Project Migrated to lang graph
2. End to End functionality working

Next Step

1. End to End QA
2. Release

[emmayank]

Current status(16th Dec, 24)

1. QA and bug fixing

Next Step

1. QA SIgnoff
2. Release