Changelog

June 2026

Platform

• Build your own dashboards from saved charts, with configurable presentation options.
• Analytics and the SQL view are now one page. New query engine, faster charts.
• Added model list and per-model quality pages.
• Cleaner project key management and project list.
• Published a benchmarks blog post.

Python SDK v0.1.5 (Jun 23)

• Added inference attachments.
• Added macOS CPU frequency and thermal sampling.
• Fixed accelerator_actual wiring.

iOS / macOS SDK v1.1.0 (Jun 9)

• Zero-code ExecuTorch LLM interceptor. No code changes in your app.
• New telemetry types: GenerationConfig and ApiMeta.
• Gzip compression for event batches.
• Added SDKDiagnostics (memory, queue size, serialization time).
• app_version is auto-detected from the host bundle.
• New LLaMA.cpp and ExecuTorch example apps.
• Inference duration on ONNX paths now reports ML time, not recording length.

May 2026

Platform

• Datasets: register Iceberg-backed datasets, curate and bulk-manage them, and download a prepared zip.
• Dataset analytics with feedback correlation.
• Filter events by geography (IP-based), modality, quantization, model format, error code, app version, and device model.
• Clickable and multi-bar histogram selection. Infinite scroll on Events and Traces.
• Inference attachments: presigned upload, access API, per-period quotas, and billing.
• Self-managed companies, full project settings, team roles, and a refreshed auth flow with suspicious-login handling.
• Classifier analytics now use top-1 confidence instead of average confidence.

April 2026

Platform

• iOS and Android SDKs in the getting started flow.
• Hardware page with per-device performance, thermals, and accelerator info.
• Component-based traces.
• SQL assistant for querying telemetry with your own model.
• Clearer ingest error messages. Model version is now optional on ingest.

Android SDK v1.0.0 (Apr 30)

• First release on Maven Central. See the setup guide.

iOS / macOS SDK v1.0.11 (Apr 29)

• Maintenance release.

iOS / macOS SDK v1.0.0 (Apr 27)

• First release on CocoaPods. See the setup guide.

Python SDK v0.1.4 (Apr 20)

• Anthropic SDK integration, with an example using a Haiku model.
• Moved to the production license.

March 2026

Python SDK v0.1.3 (Mar 31)

• Agentic workflow monitoring.
• TTFT support for remote LLM and GGUF integrations.

Python SDK v0.1.2 (Mar 23)

• More Pythonic SDK init.
• A missing DSN now turns the client into a no-op.

Python SDK v0.1.0 (Mar 17)

• First release on PyPI. See the setup guide.