Documentation Index
Fetch the complete documentation index at: https://docs.agent.ai/llms.txt
Use this file to discover all available pages before exploring further.
Overview
Retrieve detailed metadata, input fields, and output fields for any agent on the platform using its ID or slug.Use Cases
- Agent Discovery: Programmatically inspect an agent’s capabilities before invoking it.
- Dynamic Integrations: Build tools that adapt to an agent’s input/output schema at runtime.
- Catalog & Documentation: Generate agent directories or documentation from live metadata.
Endpoint
POST https://api-lr.agent.ai/v1/action/describe_agentAuthentication
Requires a Bearer token (your API key) in theAuthorization header.
Get your API key from agent.ai/user/settings#credits.
Configuration Fields
Agent ID
- Description: The unique agent identifier or human-readable slug.
- Example:
"fluximage"or"1a4g81x0bfsc5dpi" - Required: Yes
Response Fields
Agent
- id: Unique agent identifier.
- human_id: Human-readable slug used in URLs (nullable).
- name: Agent display name.
- description: Agent description text.
- url: Agent runner page URL (e.g.
https://agent.ai/agent/fluximage). - profile_url: Agent profile page URL (e.g.
https://agent.ai/profile/fluximage). - icon: Agent icon path.
- type: Agent type —
studio,workflow, orexpert. - status: Visibility —
public,private, orteam. - tags: Array of category tags.
- executions: Total number of runs.
- review: Object with
count(number of reviews) andscore(average 1–5). - authors: Array of author objects with
name,username, anduser_token. - created_at: ISO 8601 creation timestamp.
- updated_at: ISO 8601 last update timestamp.
Inputs
- Description: Array of input field variable names the agent accepts.
- Example:
["image_prompt"]
Outputs
- Description: Array of output variable names the agent produces.
- Example:
["image_generated"]
Example Request
-X POST https://api-lr.agent.ai/v1/action/describe_agent \

