Algolia CLI v1.8.1 introduces updates that improve automation, security, and AI agent interoperability from the terminal. New capabilities include schema introspection with algolia describe, structured JSON and NDJSON output, expanded dry-run validation for mutation commands, OAuth PKCE authentication with scoped user permissions, and input validation for malformed control characters. The release also adds crawler authentication through the dashboard with algolia auth crawler and a new compositions command group for managing compositions and composition rules directly from the CLI. These updates help developers and AI agents interact with Algolia more safely, predictably, and efficiently in automated workflows. Click here to learn more.

AI Assist now understands your configuration and uses this to provide advice that's tailored and relevant. A question like “Why do I have a high no-results rate?” will be met with targeted guidance on how to change your current set-up. Assist will also provide links to navigate you to relevant parts of the Algolia platform. This allows you to quickly find the relevant solution needed to take action on an Assist conversation. Assist is aware of your application’s current subscription tier and Algolia release version, and will only direct you to features you can access.

Safety Controls in Agent Studio introduce guardrails for deploying agents in production. Configure global and per-IP rate limits to handle spikes, set limits on tokens, steps, and conversation depth to manage cost, and restrict access using domain allowlists. This helps prevent abuse, reduce unexpected spend, and ensure agents are only accessible from approved environments.

The Algolia Productivity MCP now supports Claude Code, Cursor, VS Code, Gemini CLI, and Codex. Developers can connect to Algolia (via Dashboard OAuth) directly from their preferred Al coding environment and query Algolia without switching context. Each AI assistant is recognised by the MCP and matched against a redirect URI, without needing to enter a Client ID. Click here to learn more.

Agent Studio now includes a dedicated search settings panel, letting teams configure search parameters specifically for their agents - separate from existing index settings. Defaults (hits per page, controlled attributes, facets) are set based on evaluation findings and applied automatically when connecting a new index. All settings are fully customizable.

Agent Studio's search tool has been upgraded with improved relevance, faster response times, and reduced cost per query. Agents now benefit from more accurate, context-aware results across a wider range of query types. AI-generated tool descriptions also help agents select and invoke the right search tool at the right time, improving overall agent reasoning quality.

A new Guardrails configuration in the Safety Controls tab allows defining custom categories to filter harmful or off-topic content across input, output, or both. Each category includes a description, examples, and an optional fallback response, helping teams control how agents handle sensitive or irrelevant queries. This improves response quality, reduces risk, and ensures interactions stay aligned with the intended use case. Click here to learn more.

The Agent Studio widget search bar now features an AI mode button and context-aware prompt suggestions. As shoppers type, relevant suggested prompts appear that transition them directly into the chat experience with a single click. The AI mode button provides a persistent, prominent entry point from search to natural language conversation, reducing friction for users moving between search and chat.

Agent Studio now includes a dedicated Getting Started page and Quick Setup flow for agents. A guided configuration wizard covers data source selection, prompt configuration, entry points, prompt suggestions, conversation features, and safety controls in a single flow. Pre-configured agent templates are available to reduce setup time and accelerate time to first deployment.

Agent Studio introduces dynamic search parameter passing for more flexible retrieval, along with new analytics for conversation depth and user feedback. It adds DeepSeek support, thread depth controls via API, new templates, and expanded feedback APIs and UI components. DocSearch now supports Agent Studio capabilities, helping improve customization, visibility, and control over AI experiences.