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 10 hours ago

Leonid RIse
Get notified by email when there are changes.
In Review
Feature Request
About 10 hours ago

Leonid RIse
Get notified by email when there are changes.