Data feeds: stream agent sessions, MCP traffic, and risk findings to the stack you already run

Speakeasy’s AI Control Plane has introduced streaming data feeds that consolidate telemetry from multiple AI clients into standardized OpenTelemetry records and export them via OTLP/HTTP to existing observability tools such as Langfuse, Grafana Cloud, Datadog, or an OpenTelemetry Collector. The feeds cover agent sessions, MCP gateway traffic that providers may not expose, and correlated risk findings, using shared organization and project attributes to simplify tracking across vendors with differing schemas and identities. Administrators configure one destination and project-specific routes through the dashboard, while sensitive prompts, model content, tool payloads, and user identifiers are redacted by default unless explicitly enabled; risk findings never include matched content and are re-evaluated before delivery to avoid sending out-of-scope data. The release focuses on live streaming rather than archival exports, although batch delivery to S3-compatible storage, additional destination types such as warehouses and SIEMs, and analysis guidance are planned, with collectors currently serving as the supported intermediary for unsupported endpoints.

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