Product AI SDK
Typed endpoints and structured outputs for chat, tools, and retrieval flows.
- Streaming responses and tool-calling boundaries
- Schema validation and retry-safe output handling
- Workspace-aware delivery without runtime guesswork
Builders and Developers
UpcubeAI Builders
A practical view of how builders can ship AI features with typed interfaces, evaluation gates, and operational guardrails.
Current offering surfaces
This route is static and local to the current repo; production rollout controls are not provided here.
Evaluation harness
Regression checks for prompts, retrieval behavior, and tool chains before release.
- Golden-set comparisons and rubric scoring
- Release gating for quality and cost drift
- Clear pass/fail framing for launch readiness
Run observability
Trace-first run records to inspect latency, cost, and failure patterns.
- Deterministic run replay for debugging
- Error taxonomy and incident triage signals
- Operator-friendly summaries for release review