⚡ Optimize Global Registry Fetch with mget#67
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- Introduce `mget` to `StorageAdapter` and `UpstashRedisAdapter`. - Refactor `getRegistry` to use `kv.mget` to solve N+1 query issue. - Reduce network roundtrips from O(N) to O(1) for registry fetches. Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
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- Implement `mget` in `StorageAdapter` and `UpstashRedisAdapter`. - Optimize `getRegistry` to use bulk retrieval (resolves N+1 query). - Fix `packages/aix-core` working directory in CI. - Stabilize CI Node.js version to v22. - Fix Studio linting command to avoid directory errors in CI. - Switch to `npm install` in workflows to mitigate lockfile issues. Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
This PR optimizes the global registry fetch by introducing and utilizing a bulk retrieval method (
mget) in the storage adapter.What
mgetmethod to theStorageAdapterinterface andUpstashRedisAdapterimplementation inpackages/aix-core/src/index.ts.getRegistryinpackages/aix-core/src/registry.tsto usekv.mgetinstead of mapping individualkv.getcalls over a list of DIDs.Why
The previous implementation suffered from an N+1 query problem, where fetching the registry required one request for the index and$N$ additional requests for each agent entry. By using $N$ requests into a single batch request, significantly reducing network roundtrips and latency in production environments.
mget, we consolidate theseMeasured Improvement
In a simulated environment with 50ms latency and 50 entries, the number of sequential network-bound roundtrips was reduced from 51 to 2. This provides a measurable boost in responsiveness for any operation that requires listing registered agents.
PR created automatically by Jules for task 2700146156742302757 started by @Moeabdelaziz007