Product Pillar 01 — AI ObservabilityPhase 1 · August 2026

Stop flying blind.
Total transparency for your AI-native workspace.

Sitting silently at the LLM exchange boundary, KrewAI delivers the first zero-friction, cross-IDE observability ledger and per-user token budget control for software engineering organizations.

The Problem

90% of internal developer AI usage is invisible to your IT organization.

Your engineering team has embraced the AI revolution, but they are juggling 2 to 4 disparate AI tools (from Cursor and Copilot to Claude Code CLI and raw ChatGPT sessions) without a central system of record. Over 52% of employees are pasting proprietary codebase context and sensitive security credentials into unsanctioned, unmanaged AI tools because your approved systems lack persistent context.

While you track commits, cloud infra, and sprint velocity, your single largest productivity driver — and runaway cost center — remains a complete black box. KrewAI integrates behind the scenes as a non-blocking middleware proxy, giving you an immutable operational ledger of every prompt, response, token, model, and cost metric across all environments.

Technical Capabilities

Enterprise-grade observability built for modern development environments.

Ingestion

Pluggable Cross-IDE Gateway

No client-side SDK packaging or brittle client monkey-patching required. Standard-setters Cursor, VS Code, and Windsurf route seamlessly to KrewAI via a simple, single-workspace base URL override.

Budgeting

Hard-Gate Token Controls

Set granular, per-user, per-model, and team-wide cost and token caps. Automatically alert admins via Slack or PagerDuty the moment a rogue agent script or a poorly optimized loop triggers a token burn rate spike.

Evaluation

Non-Blocking Async Evals

Evaluations do not sit in your latency path. Trigger async, on-demand scoring runs (LLM-as-a-judge, factual entailment, and method-agnostic classifiers) to trace performance deltas across different models, prompts, and developer tiers.

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