Build your own agent trace lake with Pixeltable

Pixeltable 0.7.23 is presented as a lightweight, local “trace lake” for enriching and analyzing agent-session spans rather than as a high-throughput tracing backend. Using a table in which each row represents a span, the approach stores trace metadata and payloads, calculates scores and classifications through computed columns at insertion time, supports aggregation-based failure queries, performs substring and embedding-based similarity search, and preserves selected failures as versioned snapshots for reproducible evaluations. The demonstrated setup uses ten synthetic spans, local MiniLM embeddings, and heuristic scoring without external API keys, while noting implementation limitations involving Boolean aggregates, JSON-to-string search, and materialized-query refreshes. Pixeltable can retain data locally or be deployed in its cloud offering, and it can export its own operations through OpenTelemetry, but it is positioned alongside systems such as Braintrust, Langfuse, Phoenix, or OpenTelemetry collectors for workloads requiring very high ingestion rates, live tailing, sampling, or large-scale trace storage.

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