Launch Week 02 wrapped — explore all five launches
Confident AI
Docs
Pricing
Products
LLM Evaluation
LLM Evaluation

Benchmark LLM systems with research-backed metrics.

LLM Observability
LLM Observability

Trace, monitor, and alert on production LLM systems.

AI Red Teaming
AI Red Teaming

Stress-test LLM apps against adversarial attacks.

AI Governance
AI Governance

Enforce AI standards and controls across teams.

Book a DemoSign Up
Book a DemoSign Up

August 20, 2026

  • Enterprise
  • Self-Hosting

v2.4.2

Release v2.4.2 adds audit log export support, expands AI connection MCP server handling, and improves metric collection visibility in observability drawers. It also includes several fixes for export behavior, AI connection payload handling, and evaluation data propagation.

Highlights

  • Audit logs can now be exported through the public API and UI with CSV output, signed downloads, and scope-aware limits.
  • AI connections now support attached MCP servers, payload templates, and shared context through evals and related run paths.
  • Metric collection names are now recorded and surfaced across traces, spans, threads, and observability drawers.
  • Hyperparameter references in AI connection payloads are now resolved through shared editor and run helpers.

New Features

  • Audit Log Exports — Added audit log export types, CSV serialization, public API routes, orchestration helpers, and recent export listings with signed downloads.
  • MCP Servers for AI Connections — Added support for attaching MCP servers to AI connections, carrying their context into evals and other run types, and editing payload templates in the Resources tab.
  • Metric Collection Tracking — Added support for recording every metric collection associated with traces, spans, and threads and linking them from observability drawers.
  • Hyperparameter Token Resolution — Added support for resolving hyperparameter.key tokens in JSON payloads and wiring saved hyperparameter keys into the payload editor.

Improvements

  • Audit Export Scope Handling — Export status records, download binding, and export run jobs are now scoped by project or organization where applicable.
  • Export UX — Export dialogs now estimate audit log export size before starting a run and show recent exports with signed downloads.
  • AI Connection Payload Editing — MCP server payloads and hyperparameter overrides are now handled through shared helpers and a combined Resources tab.
  • Observatory Drawers — Metric collection drawers can now be opened from labels and show linked metric collection names.

Fixes

  • Audit Log Export Reliability — Audit log queries are now pruned by organization and exports fall back to the payload bucket on self-hosted object storage.
  • Export Run Behavior — The UI now rejects a second audit log export while one is running and expires failed exports after 10 minutes while polling active runs.
  • MCP Server Payload Handling — AI connection payloads now preserve MCP servers when duplicating a connection and include them correctly in previews and warnings.
  • Metric Collection Merging — Buffered trace and span payload merges now keep every metric collection and drawers skip empty metric collection names.

Upgrade Notes

Database migrations are included for audit log export enum support, MCP server relation and payload fields on AI connections, and metric collection name storage changes.

Built byConfident AI