
Worked on enhancing telemetry stability and data privacy in the PostHog/posthog-js repository by addressing ingestion failures related to large base64-encoded images in AI trace events. Applied the existing sanitizeLangChain utility to sanitize both input and output states at capture time, ensuring that oversized base64 data URLs were redacted before telemetry events were ingested. Developed an automated Jest test to verify that redaction was consistently applied, reducing the risk of 413 payload errors and batch drops in telemetry pipelines. Utilized TypeScript and telemetry best practices to align the redaction process with the established generation path, improving data reliability and privacy.
July 2026: Telemetry stability and data privacy enhancement in the PostHog JS (PostHog/posthog-js) repo. Resolved ingestion failures caused by large base64-encoded images in AI traces by sanitizing input and output states at capture time, aligning with the existing generation path. Added a dedicated test to ensure base64 data URLs are redacted in telemetry events. This reduces batch drops due to oversized payloads and strengthens telemetry data quality and privacy.
July 2026: Telemetry stability and data privacy enhancement in the PostHog JS (PostHog/posthog-js) repo. Resolved ingestion failures caused by large base64-encoded images in AI traces by sanitizing input and output states at capture time, aligning with the existing generation path. Added a dedicated test to ensure base64 data URLs are redacted in telemetry events. This reduces batch drops due to oversized payloads and strengthens telemetry data quality and privacy.

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