Experimental features

Configure experimental agent features before they become stable APIs.

Agent Studio includes the following experimental features.

These features are experimental and change regularly. Share your feedback. Algolia may promote features to stable APIs based on usage and your feedback.

Default configuration settings

Agent Studio uses default settings optimized for performance and cost-efficiency.

• Cache enabled: reduces LLM costs. For more information, see data retention.
• Usage metrics: on-demand.

Customize these settings for each agent in the config object.

Available features

Configure features in your agent’s config object from the API.

date_aware

Injects current date (YYYY-MM-DD) into the system prompt.

JSON

{
  "config": {
    "features": ["date_aware"]
  }
}

Use case: news, events, daily promotions where the agent must be aware of the current date.

datetime_aware

Injects current date and time (YYYY-MM-DD HH:MM) into the system prompt.

{
  "config": {
    "features": ["datetime_aware"]
  }
}

Use case: support agents at scale needing minute-level freshness. Helps reduce repeated queries within a 60-second caching window.

citations

Adds citation markers [1], [2] to responses based on search results from tool calls.

JSON

{
  "config": {
    "features": ["citations"]
  }
}

Works in non-streaming mode only. If you require advanced citation capabilities, contact the Algolia support team to inquire about early access to the Citations v2 feature.

Cache tradeoffs

Time awareness features affect caching. For more information, see Date awareness and caching.

Client-side time injection

For full control over format, granularity, and timezone, inject time yourself:

JavaScript

import { useChat } from '@ai-sdk/react';

const { append } = useChat({
  // ... transport config
});

const askWithTime = (question) => {
  const now = new Date();
  const context = `[Current time: ${now.toISOString()}]\n\n`;
  append({ role: 'user', content: context + question });
};