# Changelog ### 2.12.0 * Added **AI Insights** — a new analytics surface that runs your usage data through an AI Recommendations Engine and returns prioritized, actionable findings with potential monthly savings, severity, and suggested actions. * Added **Cost Controls** — define Budget Rules with dimensional filters, Slack and webhook notification channels, and a per-rule event log. Runtime enforcement is now available across Revenium's SDK library, including Node, Go, and Python, so spend limits are enforced at the call site. * **Enhanced AI Coding Adoption analytics** — scatter plot grouping users by output and engagement, segment tabs and badges across the Value-by-User table, derived metrics columns (Cost per PR, Adoption rate, Tokens per Session) and session efficiency metrics. * Added **Claude PR attribution via Co-Authored-By** — Revenium now detects Claude-assisted pull requests, attributes them to the correct user and team, and exposes a sortable PRs-with-Claude column on the Adoption tab. * Added **provider credit tracking for AWS Bedrock and GCP Vertex** — provider-issued credits are captured, surfaced per-provider on the Provider cost dashboard, and applied in billing analytics so reported spend reflects what you actually pay * Added **Revvy Onboarding Agent & CLI** — a new agent-driven instrumentation assistant that helps you onboard your application to Revenium. It includes an AI callsite search, code integration guidance, GitHub Actions template, and machine-readable call-site manifest for AI agents. * Updated **MCP Server** with improved error handling and additional API coverage * Improved **team-switch reliability** in the web application * Improved **multimodal alert metric guidance** in the Create Alert flow * Fixed edge case bugs in **resolved-alert notifications** that were silently failing to deliver to Slack and email ### 2.11.0 * Added Claude Cowork Dashboard with per-user value reporting, cost by model, token and cache utilization breakdowns, and a one-line OTLP configuration from the Claude Desktop admin UI that instruments your entire company's Cowork usage with zero per-machine setup * Added GitHub integration for AI Coding Dashboard team attribution — map Claude Code usage to teams via PR authorship to directly correlate Claude Code usage to the outcomes that matter * Added scoped API key permissions — create read-only, metering-only, or full-access keys per integration; legacy keys continue to work unchanged * Added environment filtering across Logs and Traces — filter by dev, staging, prod, etc. * Added a unified Go metering SDK with first-class support for Anthropic (streaming + vision), Google (chat, embeddings, image, video), fal.ai (Run/Subscribe/Stream), LiteLLM (with SSE streaming), and the Responses API * Added clickable ROI cards — click any box on the ROI page to drill into detailed job filtering * Updated MCP Server to FastMCP 3.x, Tool Registry management with pricing tiers, Jobs & Outcomes management, and expanded analytics wiring for cost-by-user and tool costs * Improved Pricing sidebar organization by splitting Cost Sources and Revenue Sources into dedicated sections ### 2.10.0 * Added redesigned navigation with Costs & Revenue Attribution promoted to first-level tabs, sticky headers, and new date picker across dashboards * Added global search command palette (Cmd+K / Ctrl+K) for instant navigation to any page or entity * Added search and value range filtering to Jobs API, with user-supplied job identifiers as primary keys * Added default organization preference — set your preferred organization to auto-load on login * Added per-million-token pricing display across AI Models pages with sub-cent tooltips * Added starred dashboards and revamped My Dashboards from card grid to sortable data table * Added organization tree view with full hierarchy and pagination for large org structures * Added coding assistant toggle to Logs page for filtering AI coding tool metrics * Improved performance of AI Assistants API endpoints * Updated MCP Server to FastMCP 3.x, added support for AI jobs, outcomes, and tool cost management * Updated Go middleware with centralized core architecture including circuit breaker, retry, and tool event metering ### 2.9.0 * Added ROI Dashboard with conversion funnels, revenue vs cost analysis, job transactions, and per-job ROI tracking * Added Cursor AI Coding Dashboard with usage reporting & subscription management * Added Revenium Coverage Ratio showing what percentage of provider spending is metered by Revenium * Added real-time sync status and freshness indicators to the Provider Dashboard * Added URL-based date filter persistence across dashboards, enabling bookmarking and sharing * Added Jobs API support to the Revenium metering SDKs * Added fal.ai middleware wrapper for Node.js and Go * Added LiteLLM Go middleware for LiteLLM proxy integration * Added multimodal metering for Imagen, Veo, and Gemini Vision to the Google Python middleware * Added LangChain SDK * Updated MCP Server with higher-performance analytics endpoints and expanded test coverage * Updated middleware packages across 5 providers with canonical model name resolution * Improved AI Provider billing sync reliability — historical syncs no longer time out on large datasets ### 2.8.0 * Added native OpenTelemetry GenAI semantic conventions support, enabling direct ingestion from LangChain, OpenLLMetry, Traceloop, and any OTel-instrumented AI application * Added gRPC OTLP endpoint (port 4317) for zero-configuration integration with standard OpenTelemetry exporters * Added share-to-Slack and share-to-email for charts and dashboards * Added Tool Registry Logs tab for reviewing tool event history * Added budget-specific creation flow from the Budgets dashboard * Added multimodal pricing column and provider/modality filters to AI Models pricing page * Added custom provider support when adding new AI models ### 2.7.0 * Added Tool Registry Analytics Dashboard with 11 charts covering tool cost distribution, agent breakdown, and cost iceberg views * Added full multimodal pricing: audio token pricing for GPT-4o Realtime/Transcribe, bidirectional audio cost tracking, DALL-E 3 size-variant pricing refinements, and HD TTS pricing deduplication * Added VIDEO\_COUNT, AUDIO\_COUNT, duration, characters, and credits as first-class metrics in the alert system and chart builder * Added Custom Dashboards with modality grouping and subscriber/user breakdowns for improved query performance * Added provider dashboard drill-through — integration status cards are now clickable with provider-specific detail * Added configurable concurrency for AI metrics processing * Added subscriber/user grouping in chart builder * Improved line item processing latency with direct async event-based processing * Improved billing calculation performance for high-volume accounts * Improved AI metric alert monitoring performance * Improved element aggregation performance * Fixed a type error in VIDEO\_COUNT/AUDIO\_COUNT alert evaluation * Fixed customer cost query grouping and sync logs operation filter * Fixed bar chart rendering artifacts, donut chart sizing, and y-axis label formatting ### 2.6.0 * Added multimodal image pricing with DALL-E 3 size-variant cost attribution for accurate per-call billing * Added pixel-based cost calculation for image generation models * Added FOCUS v1.0 compliant cost export, enabling direct integration with FinOps platforms * Added customer product profitability charts to the pre-defined dashboard library * Added session count metric to the AI traces analytics endpoint * Added unified delete endpoint for AI metrics * Improved metering throughput * Improved alert monitoring performance * Fixed bug in custom pricing support for AI completion metrics * Fixed dashboard editing controls * Fixed Google SSO token initialization race condition * Relabeled "Sessions/User" to "Requests/User" on AI Coding dashboard for accuracy ### 2.5.0 * Added AI Coding Dashboard supporting multiple coding assistants (Claude Code, Gemini CLI) with organization-level views * Added Connections page for unified API credential and provider integration management * Added Custom Dashboards with improved analytics performance * Added role-based prompt viewing permissions with admin controls * Added Relative Change Alerts with task type filtering for monitoring usage trends * Added OpenAI audio cost tracking for Whisper (STT) and text-to-speech services * Added multimodal pricing sync for FAL and Runway providers * Improved credential input UX with structured form fields for AWS Bedrock, LiteLLM, and PiAPI * Improved query performance for trace and AI transaction endpoints * Fixed pagination navigation and advanced search parameter handling * Fixed SSO token handling stability ### 2.4.0 * Added support for Claude Code usage metering * Added Claude Code Dashboard with cost analysis, token analytics, user attribution, and model comparison views * Added support in all middleware for sending prompt data to revenium for analysis (requires manual opt-in) * Added Prompt Viewer modal with message visualization, role-based coloring, and metrics context * Added webhook notification channel for alerts with retry logic and circuit breaker patterns * Added extended time ranges: 90 days, 6 months, 12 months, and custom date ranges for all analytics queries * Added non-token AI cost tracking for audio, image, and video AI services * Added Gemini CLI telemetry support * Added Fal.ai and Runway ML integrations via Go middleware * Added Perplexity Python SDK support * Added connection status indicators in UI to quickly provide data ingest status * Added multi-field search for Products API across name, owner email, and asset sources * Simplified OpenRouter credentials management * Improved AI transaction details modal with dedicated sections for cost, provider, timing, and tokens * Fixed duration display inconsistencies across all views * Fixed notification template logo display and email formatting * Fixed Slack OAuth redirect URI handling * Fixed chart flickering occurring in some situations --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. 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