Bringing structure to LLM workflows with Boundary and ClickHouse
Blog post from ClickHouse
Boundary's BAML programming language aims to bring engineering discipline and type safety to LLM workflows by defining prompts as typed functions with clear inputs, outputs, and schemas. This allows developers to test, version, and debug prompts like any other code, enabling a hot reload loop for LLMs and reliable extraction of structured data from model output. By integrating BAML with ClickHouse, the Boundary team provides a complete analytics backbone for prompt engineering, offering schema-aware logging, real-time observability, and fast query capabilities to transform the way developers build and maintain LLM applications.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 11 | 3,765 | 540 | 172 | -11% |
| Observability | 3 | 1,696 | 379 | 123 | -20% |
| Real-time | 2 | 3,344 | 937 | 222 | -51% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.