Changelog

Product release history and version updates

Changelog

This page tracks Deslicer AI product releases. You see what's new, improved, and fixed in each version.

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Release Format

Each release includes:

  • Date — Release date
  • Version — Semantic version (e.g., 1.2.0)
  • Summary — High-level overview
  • Features added — New capabilities
  • Improvements — Enhancements to existing features
  • Fixes — Bug fixes and stability improvements

Most Recent Release

Date: 2026-04-30 Version: 1.8.0 Summary: AI Safety & Guardrails for organization-wide LLM prompt and completion protection, DAP self-repair and connectivity management, Deslicer App Registry v2 tools for deep Splunkbase inspection, and improved scheduled task budget controls.

Features added:

  • AI Safety & Guardrails — A new guardrails management page under Security Settings lets you create, test, and enforce safety rules on every LLM request across your organization. Guardrails mask sensitive data (PII, emails, phone numbers) or block prompts that violate compliance policies. Includes pre-built templates, custom policy builder, single-guardrail and end-to-end testing, real-time monitoring with per-request logs, and team permission controls. See AI Guardrails & Policies.
  • DAP self-repair — The DAP Platform page now lets you repair a degraded connection with a single click. The Reconnect Integration button re-provisions the backend connection without losing enrolled nodes or change plan history. A Support Contact Card displays diagnostic details (tenant ID, Observer API URL, HTTP status, error message) you can share with your administrator. See Getting Started with DAP.
  • DAP connectivity warnings — When the DAP backend is unreachable, an amber warning banner appears at the top of Insights, Plans, and Execution pages linking to the Platform page for diagnostics and repair.
  • Deslicer App Registry v2 — The Splunkbase integration now includes expanded registry tools: inspect individual files inside release archives, discover app capabilities (sourcetypes, inputs, dashboards), look up Splunk Enterprise and Universal Forwarder builds by version and architecture, check trust and vetting status, and query index health. See Splunkbase & App Registry.

Improvements:

  • Scheduled task budget banner now displays a visual progress bar with current spend and maximum budget (e.g., $7.50 / $10.00) — warning state shown in amber, exhausted state in red with disabled task controls
  • DAP error states show structured diagnostics with HTTP status codes, support reference IDs, and links to Open DAP Platform for self-service repair
  • DAP provisioning automatically probes both internal and public Observer API URLs side-by-side for faster troubleshooting
  • DAP backend management in platform admin now supports backend delete, structured save errors, and auto-reconciliation on page load

Fixes:

  • Fixed LiteLLM team list reconciliation failing on transient API errors — retries are now applied automatically
  • Fixed scheduled task claim service returning tasks already claimed by another worker in concurrent execution scenarios

Date: 2026-04-25 Version: 1.7.0 Summary: Scheduled Agent Tasks for automated recurring agent runs, plan-driven budget caps with trial spending limits, DAP plan diff viewer with Monaco editor, and DAP provisioning improvements including enrollment validation and node connectivity probing.

Features added:

  • Scheduled Agent Tasks — Automate recurring agent runs with cron-style schedules. Create tasks from the new Scheduled Tasks page or directly from an agent card. Each task runs an agent with a specific prompt on a defined schedule, delivering results to your conversation history or via email. You can pause, resume, edit, delete, and trigger tasks manually with Run Now. Run history shows status, duration, token usage, cost, and tool calls. A budget banner warns when your team's usage budget is exhausted. See Scheduled Agent Tasks.
  • Plan-driven budget caps — Trial users now have an automatic €10 spending cap during the 7-day trial period. Paid-tier users receive higher or unlimited budget caps aligned with their plan. Budget enforcement applies to both chat sessions and scheduled tasks. See Credits and Usage.
  • DAP plan diff viewer — Config change plans now display a side-by-side Monaco diff editor showing the original and proposed values for each changed file. You can expand individual change items to see the full diff with syntax highlighting for Splunk .conf files.

Improvements:

  • DAP enrollment page now validates backend connectivity and shows provisioning status before onboarding nodes
  • DAP nodes page includes enhanced connectivity probing with status indicators for each enrolled node
  • DAP executions page shows improved run detail with expanded metadata
  • Agent cards and list view now include a Schedule button linking directly to the Scheduled Tasks page pre-filtered to that agent
  • Dashboard sidebar includes Scheduled Tasks entry under the main navigation
  • Trial-period billing caps are enforced consistently across both email/password and OAuth signup flows

Fixes:

  • Fixed LiteLLM budget sync clearing budget_duration and soft_budget on plan transitions — paid users no longer lose their budget configuration when changing plans
  • Fixed hotfix script incorrectly bumping trial users to unlimited budget caps
  • Fixed trial spending cap not applying to Standard and Enterprise subscriptions during the trial period

Date: 2026-04-14 Version: 1.6.0 Summary: On-premise deployment, native web search for agents, Dashboard Studio skill, OIDC authentication with automatic team provisioning, and SMTP email support. Deslicer can now run entirely within your own infrastructure.

Features added:

  • On-premise deployment — run Deslicer AI within your organization's network using Docker Compose. The on-prem stack includes PostgreSQL with pgvector, LiteLLM proxy, Redis, and OpenTelemetry. All users get enterprise-tier features with billing disabled. See On-Premise Deployment.
  • OIDC authentication — on-premise deployments authenticate users through your Identity Provider (PingIdentity, Okta, Azure AD, Keycloak, or any OIDC-compliant provider). Users sign in via Sign in with your organization and are redirected to your IdP. A local admin account is available for setup and fallback access. See Creating Your Account.
  • Automatic team provisioning — when your IdP sends group claims during OIDC login, Deslicer automatically creates organizations and teams based on those groups. The first user in a group becomes the owner; subsequent users join as members.
  • Native web search — agents with web search enabled now use provider-native search tools (OpenAI, Anthropic, Google, xAI). The system selects the best web search implementation based on the agent's model. See Chatting with Agents.
  • Dashboard Studio skill — a new skill that guides agents through building Splunk Dashboard Studio dashboards. The agent follows a structured workflow: gather context, construct JSON definitions, apply theming (including Deslicer brand defaults), deploy to Splunk via MCP, and verify. See Agent Skills.
  • SMTP email provider — on-premise deployments send invitation and notification emails through your organization's SMTP server instead of the managed cloud email service.
  • Air-gapped installation — export Docker images on a connected machine and install on-premise without internet access.

Improvements:

  • Web search reliability improved for Anthropic models — the system routes around proxy limitations when web search is active
  • Orchestrator task and plan rendering improved — structured plans, task lists, and progress updates display more clearly in the chat interface
  • Dashboard layout now shows recent conversations with scroll-to-load and pending team invitations in the sidebar
  • Auth error page now displays clear error messages with a retry button and guidance to contact IT

Fixes:

  • Fixed chat transport reconnection handling for improved session stability
  • Fixed subagent switcher and workflow switcher display in the chat start view

Date: 2026-04-02 Version: 1.5.0 Summary: Three new agent skills (Splunk Alerting, Dashboard Studio, DAP Onboarding), DAP security compliance auditing with baseline profiles and remediation plans, DAP inputs inventory, enhanced plan detail pages with dry-run previews, live workflow progress tracking in chat, and improved agent cloning.

Features added:

  • Splunk Alerting skill — a new skill that guides agents through creating, managing, and troubleshooting Splunk alerts. Covers scheduled and real-time alerts, trigger conditions, throttling and suppression, and alert actions (email, webhook, log event, CSV output). See Agent Skills.
  • Dashboard Studio skill — a new skill for building themed Splunk Dashboard Studio dashboards. Agents follow a structured workflow to construct JSON definitions with 20+ visualization types, data sources, inputs, tokens, dynamic options syntax, and layout configuration with Deslicer brand theming. See Agent Skills.
  • DAP Onboarding skill — a new skill that structures Git repositories for Splunk app deployment via the Deslicer Automation Platform (DAP). Supports mono-app and multi-app repository layouts, CCA metadata files, and CI/CD workflow configuration. See Agent Skills.
  • DAP security compliance — a new Security Insights page in the DAP dashboard that runs compliance audits against your Splunk fleet using versioned baseline profiles. Shows compliance percentages per host, violation details with severity levels, trend charts over time, and lets you create remediation plans directly from violations. Includes CSV export. See Deslicer Observer API & Automation Platform.
  • DAP inputs inventory — a new Inputs Insights page in the DAP dashboard that shows a cross-host inventory of all inputs.conf entries. Filter by input type, app, config layer, and status. See Deslicer Observer API & Automation Platform.
  • Live workflow progress tracking — workflow execution in the chat interface now shows real-time node-by-node progress. Each node displays its status (pending, running, completed, failed) with expandable tool call details and duration. See Running Workflows.

Improvements:

  • Agent cloning now preserves skills, skill settings, tool optimization configuration, telemetry preferences, and tool choice overrides from the source agent
  • DAP plan detail pages redesigned with a sidebar layout showing plan metadata, timeline, and execution history alongside change items, dry-run previews, and approval dialogs
  • DAP fleet insights page now includes a compliance posture summary card linking to the full security audit
  • Improved error handling in DAP pages with consistent error states and classification

Fixes:

  • Fixed invite code values appearing in authentication verification logs — codes are now redacted in all log output
  • Fixed agent cloning not carrying over skill and tool optimization settings from the source agent

Date: 2026-04-01 Version: 1.4.0 Summary: Starter Workspace dashboard, apply-to-starter-agents onboarding step, Orchestrator context loading indicator, and secret field masking in the integration editor. Onboarding improvements and stability fixes for workspace provisioning.

Features added:

  • Starter Workspace dashboard — the home dashboard now shows a Starter Workspace card that tracks the setup status of your integration, starter agents, and starter workflows. A progress bar shows how many assets are configured and each row displays a Ready or Pending status with a direct action button. See Creating Your Account.
  • First Steps guidance — a new Your first steps card on the dashboard guides new users through opening Orchestrator chat, updating the Splunk integration, and running a starter workflow.
  • Apply Splunk to starter agents — when you add a Splunk MCP integration through the welcome onboarding flow, a new step lets you choose which starter agents should use your new Splunk connection. Non-Splunk integrations on the agents are preserved. See Connecting Splunk.

Improvements:

  • The Orchestrator chat now shows a "Loading workspace context..." indicator while subagents, workflows, and tool configurations are being fetched, replacing an empty state
  • Sensitive fields (passwords, tokens, API keys) in the integration editor are now automatically masked when editing an existing integration — previously saved values are preserved if you leave the field unchanged
  • Deslicer Guide is now included in the default onboarding clone so new users see it in their workspace
  • Improved error handling in memory tools — read, write, list, and search operations return structured error responses instead of failing silently

Fixes:

  • Fixed onboarding rebind preserving non-Splunk bindings on starter agents — previously, switching a Splunk integration could remove other tool bindings from the agent
  • Fixed starter workspace provisioning edge cases during the signup flow

Date: 2026-03-30 Version: 1.3.0 Summary: Automatic workspace provisioning for new users — starter agents, workflows, and a demo Splunk integration are created at signup so you can explore immediately. Free-trial billing is now initialized correctly during the signup flow.

Features added:

  • Automatic workspace setup — when you create a new account, Deslicer provisions starter agents (GDI Agent v4, Splunk Data Explorer, Splunk CIM Normalizer Orchestrator, and more), starter workflows (Data Ingestion Monitor, Daily Health Check, Data Quality Check), and a pre-configured demo Splunk integration. You can start chatting with agents and running workflows immediately after signup with no manual configuration. See Creating Your Account.
  • Demo Splunk integration — a shared Splunk instance with sample data is automatically connected to your starter agents. You can explore Splunk tools and run queries before connecting your own Splunk environment. See Connecting Splunk.

Improvements:

  • Starter agents are excluded from the orchestrator subagent list to avoid duplication when using multi-agent orchestration
  • Free-trial billing initialization now runs reliably during both email/password and OAuth signup flows

Fixes:

  • Fixed free-trial credit activation not running during the signup flow — new users now receive trial credits immediately upon account creation
  • Fixed edge case where billing follow-ups could fail silently during OAuth-based signup

Date: 2026-03-27 Version: 1.2.0 Summary: Deslicer Automation Platform (DAP), GDI Onboarding Agent enhancements (Splunk readiness validation, data quality scoring, config packaging with download), GitHub MCP migration for write operations, public documentation portal with search, improved integration onboarding flow, and invite-code trial fixes.

Features added:

  • Deslicer Automation Platform (DAP) — a new dashboard section for observing, automating, and governing Splunk configuration changes across your fleet. Includes Insights Nodes enrollment, Change Plans with approval workflows, Executions tracking, fleet health Insights Dashboard, and a Configuration Browser for inspecting .conf files across enrolled nodes. See Automation Platform.
  • Splunk readiness validation — the GDI Onboarding Agent now checks your live Splunk environment before finalizing configs. It verifies index existence, detects sourcetype conflicts, and validates host availability. Results appear as pass/warn/fail with recommended actions. See Data Onboarding.
  • Data quality scoring — generated configs receive a score from 0 to 100 with a letter grade covering Magic 8 compliance, props/transforms validity, line breaking, timestamp parsing, and CIM alignment. Configs scoring below 90 are iterated automatically.
  • Config packaging and download — finalized GDI configs are packaged into a .tar.gz archive. The agent provides a download link in the chat that remains valid for one hour.
  • GitHub MCP migration — the GDI agent now uses standard GitHub MCP tools (search_repositories, create_branch, push_files, create_pull_request) instead of custom Git tooling. Enable the GitHub integration with a personal access token to push configs and open pull requests. See GitHub Integration.
  • Public documentation portal — product documentation is now publicly accessible at /docs with built-in keyword search (Cmd+K / Ctrl+K). Accessible from the landing page navigation and footer. No login required. See Public Documentation Portal.
  • Data quality validation skill — a new splunk-data-quality skill with seven validation scripts for scoring generated configurations against best practices.

Improvements:

  • Integration onboarding flow now shows loading states, improved field validation, and dedicated setup guidance for GitHub (branch selector, connection probing) and Deslicer Observer (platform connection status)
  • Beta programs card is hidden when no programs are available, reducing dashboard clutter
  • Improved GDI agent workflow linearity — the agent follows a stricter step order (analyze → generate → finalize → validate → readiness → score → download/GitHub)
  • Enhanced integration quick-start and tool editor with platform connection status for Deslicer Observer

Fixes:

  • Fixed invite-code trial expiration handling — trial dates and opt-out messaging now reflect correct expiration
  • Fixed Jest ESM errors with @ai-sdk/devtools mock
  • Fixed pgvector type qualification in product documentation migrations

Date: 2026-03-19 Version: 1.1.0 Summary: Agent Skills — a modular skill system for extending agent behavior. Eight built-in skills, slash command activation in chat, permanent skill attachment via agent settings, and a dedicated Skills page in the dashboard.

Features added:

  • Agent Skills system — modular capabilities that you attach to agents to shape how they respond, research, and execute tasks. Skills can be attached per-message via / slash commands in chat or permanently via the agent edit page. See Agent Skills.
  • Skills page in dashboard — a new Skills entry in the sidebar lets you browse, search, and filter all available skills. Each skill card shows its name, description, tags, capability indicators, and slash command.
  • Eight built-in skills — Search Splunk, Deep Research, Web Research, Research, CIM Modeling, Incident Response, Structured Output, and Concise.
  • Slash commands in chat — type / in the chat input to open the skills menu, filter by name, and attach a skill to a single message.
  • Skills tab in Agent Builder — permanently attach skills to agents from the agent edit page under the new Skills tab.
  • CIM Add-on prerequisite check — the CIM Modeling skill validates that the Splunk CIM Add-on (Splunkbase app 1621) is installed before mapping data models.
  • Sandbox companion file uploads — skills that include scripts and reference files upload companion files to the execution sandbox automatically.

Improvements:

  • Improved orchestrator web search and sandbox code execution reliability
  • Enhanced semantic tool selection to preserve orchestrator default tools
  • Skill tool schemas are registered for history validation

Fixes:

  • Fixed orchestrator default tools being dropped during semantic selection
  • Fixed sandbox script execution argument injection
  • Resolved PyJWT and pyasn1 security vulnerabilities (Trivy HIGH CVEs)

Date: 2026-03-02
Version: 1.0.0
Summary: Initial product documentation release. Use cases, teams and billing, deployment, and reference sections added.

Features added:

  • Use case documentation: SPL assistance, data quality monitoring, ITSI episode analysis, daily health checks, data onboarding
  • Teams and billing: organizations, plans, pricing, credits, subscription management
  • Deployment: Cloud SaaS, On-Premise Docker, security and compliance
  • Reference: supported AI models, FAQ, glossary
  • Changelog page template

Improvements:

  • Consolidated product documentation structure for end users, sales/marketing, and LLM agents
  • Navigation blocks and cross-references across all sections

Fixes:

  • N/A (initial release)

For older releases, check the repository history or contact Deslicer support.

Changelog | Deslicer AI Docs