The platform for production AI. Build agents and models with context, runtime, and learning solutions.
Chalk publishes skills that help AI agents work on production AI infrastructure, including benchmarking the throughput and cost per token of models served on vLLM, deploying stand-alone Python functions to Chalk's container infrastructure, and debugging query plan cache misses from engine logs. Its skills also cover accelerating Python feature resolvers in Chalk projects. Most of the work centers on Chalk's own platform, with a focus on performance, cost, and deployment for feature pipelines and model serving.
Chalk Ai Plugins
5 skills
Accelerate Python Resolvers Make Chalk Python resolvers statically accelerable.
Benchmark Vllm Model Benchmark throughput and cost-per-token of a model served on vLLM in Chalk's container infrastruc…
Chalk Hello Print a friendly greeting from the Chalk plugin marketplace, used to verify plugin installation.
Debug Plan Cache Misses Find and debug Chalk query plan cache misses from engine logs.
Deploy Chalk Function How to deploy a chalk function ("chalkcompute.function").