recipe-saas-agent

Per-user cost isolation and rate limiting in a multi-tenant SaaS agent are enforced by tracking per-session and daily budgets alongside token limits. This recipe provisions those controls, applying requests-per-minute and concurrency constraints to prevent tenant interference and budget overruns.

Adding prompt injection protection and PII masking to a backend AI chat service requires detecting injection attempts and masking sensitive data before it reaches the model. This recipe provides a production-ready configuration that applies these safety filters automatically before provider usage.

Implementing circuit breakers and behavioral contracts for streaming AI agents involves limiting tool usage, iterations, and output size while degrading gracefully on provider failures. This configuration provisions those exact behavioral limits and fallback mechanisms for reliable service.

Yes, this SaaS agent configuration supports A2A networking and audit logging for compliance. It safely exposes agents for internal service meshes, streams responses, and writes audit logs for every request to maintain operational observability and compliance.

Yes, you can use this recipe to provision a per-request chat endpoint with isolated user context. It is designed for multi-tenant SaaS products to return streaming answers, charge against user budgets, block unsafe content, and record requests for audit.