ProvenanceOne Changelog https://provenanceone.ai/changelog/ New features, improvements, fixes, and security updates for ProvenanceOne. en-gb Thu, 07 May 2026 00:00:00 GMT 1440 Bus Schema Registry https://provenanceone.ai/changelog/#entry-2026-05-07 https://provenanceone.ai/changelog/#entry-2026-05-07 Thu, 07 May 2026 00:00:00 GMT Added
  • Schema Registry for Bus topics: define JSON Schema contracts for message payloads. Validation runs automatically at publish time and rejects non-conforming messages.
  • Schema management UI in the Bus section — create, version, and assign schemas to topics without leaving the platform.
  • Schemas are optional per topic. Unschematised topics continue to accept any payload.
Documentation]]> MCP Server Execution Modes, Workflow Factory, and Editor Improvements https://provenanceone.ai/changelog/#entry-2026-05-06 https://provenanceone.ai/changelog/#entry-2026-05-06 Wed, 06 May 2026 00:00:00 GMT Added
  • MCP Server execution modes — three options for hosted servers: Always On (Fargate task runs continuously), On Demand (starts on request, stops after 15 minutes idle), and Disabled. On Demand reduces cost for infrequently used servers.
  • Live performance metrics in MCP Server detail view — request count, success rate, and average latency displayed in real time.
  • Workflow Factory — describe a use case in plain language; the platform generates a complete workflow including steps, agent configuration, and connections.
  • DataInspector panel in the workflow editor — click any data or action node to inspect its inputs and outputs in context without leaving the editor.
  • Agent step prefill response — configure a structured output template to make LLM responses more consistent and easier to parse in downstream steps.
Changed
  • Agent step UI updated to surface the prefill response option prominently.
  • MCP Server header now shows latency as the primary metric tile instead of tool count.
Fixed
  • DAG validation now runs server-side at publish time — invalid workflow graphs are caught before deployment rather than surfacing as runtime errors.
  • Bus trigger node payload now resolves step outputs at runtime rather than at workflow save time.
  • Fixing null Bus payloads in workflows created before the bus-publish node was introduced.
Documentation]]> Bus — Workspace Event Message Bus https://provenanceone.ai/changelog/#entry-2026-05-05 https://provenanceone.ai/changelog/#entry-2026-05-05 Tue, 05 May 2026 00:00:00 GMT Added
  • P1 Bus: a workspace-scoped event message bus with hierarchical topics (e.g. orders/created, payments/failed). Publish from workflows, agents, or external systems. Fan-out to multiple subscriptions automatically.
  • Three delivery modes per subscription: Pull (SQS queue, caller polls), Workflow (trigger a workflow run with the message payload), and Webhook (outbound HTTP POST to any endpoint).
  • Bus API keys — credentials scoped to specific topic patterns for publish and/or subscribe access. Separate from workspace API keys.
  • Inbound webhooks — external systems can publish directly to the Bus via HMAC-authenticated HTTP endpoints without a JWT token.
  • Bus MCP server — agents and Claude Desktop can publish to and subscribe from Bus topics via standard MCP tool calls at /bus/mcp.
  • Bus Trigger node in the workflow editor — create and manage Bus subscriptions directly inside a workflow definition.
  • JSONPath payload filters — subscriptions can filter messages using JSONPath expressions (e.g. $.amount > 100) so only matching messages trigger delivery.
  • Dead-letter queue support and replay API for failed message deliveries.
  • Bus metrics endpoint — track message volume, delivery rate, and failure rate per subscription.
  • Circular delivery protection — the platform detects and blocks infinite message loops automatically.
Fixed
  • Bus-to-workflow delivery now handles direct bus trigger events correctly.
  • Delivery success rate metric no longer misleadingly counts in-flight messages as failed.
  • ReplyTo routing promoted to top-level trigger payload for correct downstream resolution.
Documentation]]> Audit Trail, Notifications, and Command Palette https://provenanceone.ai/changelog/#entry-2026-05-04 https://provenanceone.ai/changelog/#entry-2026-05-04 Mon, 04 May 2026 00:00:00 GMT Added
  • Notifications panel — bell icon in the top navigation bar shows live workspace notifications including run failures, approval requests, and workflow deployments.
  • Command palette — press ⌘K (Mac) or Ctrl+K (Windows/Linux) to search across workflows, agents, runs, and settings from anywhere in the platform.
  • Per-run audit timeline — the Audit page now includes a dedicated view per run showing every tool call, agent decision, data access, and approval event in chronological order.
  • Configurable audit digest email — receive a scheduled summary of audit events at daily, weekly, or monthly frequency. Configure recipients and risk-level filters in Settings.
Changed
  • Audit page split into two tabs: Operations (run and workflow events) and Management (settings, member, and API key events).
  • Run audit view rewritten to use run steps as the primary data source, giving more accurate step ordering and timestamp precision.
  • Tool calls in the run audit now resolve skill names rather than showing internal IDs.
Security
  • Audit log tamper-evidence: every audit event now carries a cryptographic integrity marker. Events can be independently verified as unmodified.
  • Audit coverage expanded to include login events, authorisation denials, and read-access tracking for agents, connections, and API keys — consistent with SOC2 Type II control requirements.
  • Configurable audit digest email (see Added above) provides scheduled summaries for compliance monitoring.
  • Approval SLA breach events now written to the audit log automatically by the SLA monitor.
Documentation]]> ProvenanceOne Brand Refresh https://provenanceone.ai/changelog/#entry-2026-05-02 https://provenanceone.ai/changelog/#entry-2026-05-02 Sat, 02 May 2026 00:00:00 GMT Changed
  • Platform UI updated to the ProvenanceOne teal brand palette, consistent with the provenanceone.ai website.
  • ProvenanceOne wordmark and P1 logo mark applied across all platform pages.
  • Workflows page redesigned with updated stat cards, table rows, and rail cards.
]]> MCP Gateway DLP and Model Integrations https://provenanceone.ai/changelog/#entry-2026-04-27 https://provenanceone.ai/changelog/#entry-2026-04-27 Mon, 27 Apr 2026 00:00:00 GMT Added
  • MCP Gateway Data Loss Prevention (DLP): gateway policies allow admins to configure tool allowlists and denylists per MCP server, and to apply input and output redaction rules before data reaches an agent.
  • Rate limiting per MCP server — configure maximum request rates in Gateway settings to prevent runaway agent behaviour.
  • Model Integrations in Settings — register AI provider API keys (Anthropic, OpenAI, Google, Azure OpenAI) at the workspace level. Agents reference a provider registration by ID rather than storing keys directly on each agent.
Documentation]]> Connections, Templates, and Developer Tooling https://provenanceone.ai/changelog/#entry-2026-04-24 https://provenanceone.ai/changelog/#entry-2026-04-24 Fri, 24 Apr 2026 00:00:00 GMT Added
  • Connector logos displayed in the Connections list for faster visual identification.
  • "Used by" indicator on each connection — see at a glance which workflows and skills reference a given connection.
  • JSON workflow importer — import a workflow definition from a JSON file directly into the editor.
  • Workflow template gallery — a curated set of starting-point workflow templates covering common use cases.
  • CI/CD pipeline — Go lint, TypeScript typecheck, and automated test runs on every commit.
Changed
  • Workflow editor now supports deleting individual steps.
Fixed
  • Agent tool test round-trip now completes end-to-end.
  • Workflow email notifications now send correctly after step completion.
  • Skill input schema handling corrected for String and Binary field types.
Documentation]]> Initial Platform Launch https://provenanceone.ai/changelog/#entry-2026-04-23 https://provenanceone.ai/changelog/#entry-2026-04-23 Thu, 23 Apr 2026 00:00:00 GMT Added
  • Workflows — build and publish agentic workflows as directed acyclic graphs. Trigger types: webhook, schedule, manual, event, API, and queue. Step kinds: trigger, data, skill, agent, MCP, logic, approval, action, notify, and storage.
  • Agents — configure AI model instances with system prompts, trust levels (low, medium, high), and persistent key-value memory. Supported providers: Anthropic Claude, OpenAI GPT, and Google Gemini.
  • Skills — package Lambda functions as reusable agent tools with JSON Schema input validation and sandbox execution. Categories: data, transform, API, and integration.
  • MCP Servers — connect external and hosted MCP servers via the Model Context Protocol. All MCP traffic proxied through the platform gateway.
  • Connections — OAuth 2.0 and API key integrations for Slack, GitHub, Jira, ServiceNow, Zendesk, Snowflake, PagerDuty, Datadog, Snyk, Okta, LinkedIn, and X.
  • Approvals — human-in-the-loop decision gates embedded in workflows. Configurable risk level, SLA in minutes, reviewer assignees, evidence display, and editable approval payload.
  • Audit log — immutable event log with risk classification (low, medium, high, critical) and 7-year retention.
  • Datastores — S3-backed workspace object storage for agent data persistence.
  • Secrets management — workspace-level credential storage with audited reveal and rotation.
  • Workspace settings — named environments (production, staging, development), RBAC with three roles (admin, editor, viewer), workspace API keys with 16 granular scopes, and per-event notification preferences.
  • Approval SLA monitoring — automated SLA breach detection and notification.
  • Run debugger — step-by-step run inspection showing inputs, outputs, tool calls, logs, and errors per step.
Documentation]]>