Upcube for Builders & Developers
Ship AI features that behave like software: versioned, tested, monitored, and rollbackable. Upcube gives you clean APIs, eval gates, observability, and enforceable policy controls—so teams can move fast without turning production into a prompt experiment.
Snapshot
A practical stack for shipping AI features with reliability, measurability, and governance.
API & SDK layer
Typed endpoints for chat, tools, retrieval, and structured outputs. Build features that stay stable as prompts and models evolve.
Eval harness
Regression tests for prompts, tool chains, and retrieval—before users discover the failure mode.
Observability & replay
Trace every run end-to-end, measure cost/latency, and replay incidents deterministically.
Policy & guardrails
Central rules for safety, data handling, and tool permissions—enforced at runtime.
Offerings
Modular building blocks. Start with one capability and expand to a disciplined AI layer across product and ops.
1) Product AI SDK (typed)
Build features that stay stable as prompts and models evolve—validation, retries, tool permissions, and structure are first-class.
- • Structured outputs: schemas, validation, retries
- • Tool calling: approved tools only, constrained params
- • Retrieval: citations + source controls by default
- • Streaming: fast UI with partial responses
- • Multi-tenant ready: workspace scoping + quotas
Where this saves time
- • Fewer “worked yesterday” regressions
- • Less glue code around validation and retries
- • Faster debugging with consistent run artifacts
2) Prompt & workflow registry (versioned)
Treat prompts and workflows like deployable assets—diffs, approvals, promotion flows, and rollbacks.
- • Versions: change logs and ownership
- • Templates: system rules + style packs
- • Promotion: dev → staging → prod
- • Diff view: what changed and why
- • Access: who can edit vs publish
Example: promotion flow
- Draft in dev → run eval suite
- Review diff → approve to staging
- Canary traffic → monitor score + cost
- Promote to prod → keep rollback ready
3) Evals & release gates
Stop shipping “hope.” Ship measurable behavior with scorecards, thresholds, canaries, and rollback triggers.
- • Golden sets: curated inputs + expected behavior
- • Rubrics: correctness, safety, tone, citations
- • Scorecards: pass/fail thresholds per capability
- • CI: block releases on regressions
- • Canary + rollback: confidence thresholds and fallbacks
Minimum eval suite
- • 20 normal user requests (happy path)
- • 10 edge cases (ambiguity, missing info)
- • 10 adversarial prompts (injection, unsafe tools)
- • 10 retrieval checks (citations + source correctness)