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This page outlines the technology stack that powers the Backbase Agentic Platform, including supported languages, frameworks, observability tools, and deployment infrastructure.

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Programming Languages

The platform supports agentic applications built in any programming language. However, developer enablement tooling, templates, and workflows are currently focused on Python.
While Python is the primary supported language, you can deploy agents written in other languages (Node.js, Go, Java, etc.) as containerized workloads.

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SDKs & Libraries

  • BB AI SDK: Python SDK providing standardized connectors for AI Gateway, Observability, and common agent patterns. See BB AI SDK Overview.

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Agentic Frameworks

You can use any agentic framework to build your agents. The platform is framework-agnostic and supports:
  • Agno: Lightweight Framework for building agentic applications with a very few lines of code
  • Google ADK: Google’s Agent Development Kit
  • LangChain: Popular Python framework for building LLM applications
  • LangGraph: State machine-based agent orchestration
  • Custom frameworks: Any framework that can be containerized
Starter kits are currently available for Agno-based templates. Templates for other frameworks are coming soon.

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Technology Summary

Languages

Any language supported; Python-focused tooling

Frameworks

Agno, LangChain, LangGraph, Google ADK, or custom

SDK

BB AI SDK for standardized platform connectivity

Observability

Langfuse (default), LangWatch, or custom OTel stack

Guardrails

Nemo Guardrails for programmable rules

Evaluations

Langfuse, LangWatch, Promptfoo, or custom

AI Gateway

Azure APIM with multi-provider support and content safety filters and policies

Models

Azure AI Foundry or BYO models

Deployment

Argo CD with GitOps and Helm charts