Key features
- Prompt versioning: APAC version control with model parameters and test results
- A/B testing: APAC traffic splitting across prompt versions without code changes
- Workflow builder: APAC visual multi-step LLM pipeline construction and execution
- Test datasets: APAC automated regression suites for prompt change validation
- Production monitoring: APAC quality, latency, and cost tracking per workflow
- API execution: APAC single endpoint for prompt retrieval and LLM call execution
Best for
- APAC product and engineering teams building customer-facing LLM features who need to iterate on prompts rapidly without engineering deployments — particularly APAC organizations where business and product stakeholders need visibility into prompt performance and the ability to test variants without code access.
Limitations to know
- ! APAC complex custom orchestration may hit workflow builder limitations vs code-first frameworks
- ! Vendor dependency: APAC production LLM logic lives in Vellum, not application code
- ! APAC enterprise data isolation review required — prompts and test data in Vellum cloud
About Vellum
Vellum is an LLM workflow development platform providing APAC product and engineering teams with prompt version control, automated test suites, A/B experimentation, and production monitoring — bridging the gap between LLM prototyping and production-grade feature development. APAC teams building customer-facing AI features who need to iterate on prompts without code deployments use Vellum as their central LLM product development environment.
Vellum's prompt management allows APAC teams to version prompts alongside model parameters — when the APAC product team wants to test a new prompt variant, they create a version in Vellum, run it against the test dataset, and deploy to a percentage of traffic through Vellum's API. APAC engineers don't touch application code for prompt iterations; the Vellum API always returns the currently active prompt version's output without re-deployment.
Vellum's workflow builder enables APAC teams to construct multi-step LLM pipelines visually — chaining retrieval, LLM calls, conditional branching, and output formatting in a workflow graph that executes via Vellum's API. APAC teams building complex RAG pipelines or multi-agent orchestration use Vellum workflows to separate the LLM logic layer from application code, enabling product iteration without engineering bottlenecks.
Vellum's production monitoring tracks APAC LLM output quality, latency, and cost per workflow run — surfacing quality regressions when prompt or model changes degrade output scores. APAC engineering teams with SLA requirements on LLM-powered features use Vellum's monitoring to receive alerts when production quality metrics breach thresholds, enabling rapid rollback to previous prompt versions.
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