Superagents are a powerful tool for rapid deployment, but for production-grade, enterprise-ready AI companies, the current LLM integration is a "black box."
Feature: Custom LLM Provider Configuration
To build a secure, scalable product on top of Base44, we need the ability to configure a Custom LLM Endpoint (OpenAI-compatible) for the Superagent's reasoning layer.
Propose adding an advanced configuration section within the Superagent settings that allows users to override the default routing logic.
Importance
Security & Compliance: Production-grade deployments require the ability to route all LLM traffic through internal security gateways. This is essential for enforcing real-time threat detection, Data Loss Prevention (DLP), and PII scrubbing to ensure compliance with organizational and regulatory standards.
Infrastructure Control & Scalability: A custom endpoint allows teams to handle high-traffic volumes and implement custom fallback logic without being restricted by platform-wide rate limits or shared quotas.
Industry Standards: Supporting custom endpoints—a standard feature in frameworks like LangChain/LangSmith and the Vercel AI SDK—ensures the product can be integrated into modern, high-performance tech stacks.
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In Review
Feature Request
About 2 months ago

Leonid RIse
Get notified by email when there are changes.
In Review
Feature Request
About 2 months ago

Leonid RIse
Get notified by email when there are changes.