Store a source checksum to skip unchanged documents
Compare a document’s source checksum, metadata, and ingestion profile before repeating extraction, chunking, embedding, and index writes.
Compare a document’s source checksum, metadata, and ingestion profile before repeating extraction, chunking, embedding, and index writes.
Make culture and time zone explicit inputs when parsing, formatting, or local-time conversion depends on them.
Bound every model-visible tool result before it enters the next prompt.
Run Qdrant locally, connect with the official .NET client, and create a collection whose vector size and distance match the embedding model.
Hand production samples to a separate evaluation worker instead of making users wait for an evaluator model.
Stamp telemetry with the immutable build that produced it so incidents can be compared across releases and rolling deployments.
Build stable lookup tables once with FrozenDictionary, reuse them across reads, and measure whether lookup savings justify the construction cost.
Tell API clients when another attempt may succeed instead of leaving them to guess a retry delay.
Keep every evaluation result tied to the exact prompt, model identities, dataset, evaluator, and configuration that produced it.
Put the latency objective into the histogram boundaries so compliance can be calculated without interpolating between buckets.