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agently-request

Configure Agenty request-side model setup, prompts, and structured outputs.

23|2|Updated Mar 11, 2026
Search Tags:#embeddings#prompt management#structured output#session memory#knowledge-base#model setup#Agenty
One-click install
npx skills add https://github.com/AgentEra/Agently-Skills --skill agently-request
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agently-request
Source: https://github.com/AgentEra/Agently-Skills/tree/main/skills/agently-request
Command: npx skills add https://github.com/AgentEra/Agently-Skills --skill agently-request

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Agenty, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The Skill unit 'agently-request' addresses the challenge of shaping request-side behavior in Agenty applications, enabling efficient handling of model setup, settings management, prompt design, structured output requirements, response reuse, streaming consumption, session memory, embeddings, and knowledge-base indexing.

Core Features & Use Cases

  • Model Setup and Settings: Facilitates provider configuration and connectivity checks for model endpoints.
  • Prompt Management: Offers robust prompt configuration and management for model interactions.
  • Structured Output: Ensures reliable machine-readable outputs with controlled structure and format.
  • Response Reuse: Enables reusing model responses within a request family.
  • Streaming Consumption: Supports asynchronous processing and consumption of streaming data from model outputs.
  • Session Memory: Allows continuity and persistence of session data across request iterations.
  • Embeddings: Offers embedding functionalities for model input enhancement.
  • Knowledge Base: Provides indexing and retrieval capabilities for in-depth information access.

Quick Start

Use the 'agently-request' skill to configure model settings and prompts for your Agenty requests.

Frequently Asked Questions about agently-request

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage model setup and prompt configuration for Agenty requests?▼

Agenty request configuration uses a framework to manage model setup and prompt design for model interactions. You can apply provider configuration, check endpoint connectivity, and establish robust settings for request-side behaviors.

How do I get structured output from model interactions in Agenty?▼

Structured output in Agenty ensures reliable machine-readable results by controlling the structure and format of model responses. This prevents parsing errors and enables consistent downstream data consumption.

Can I maintain session memory across multiple model request iterations?▼

Session memory allows continuity and persistence of session data across request iterations in Agenty. This enables contextual awareness when processing sequential interactions within a request family.

Does Agenty support streaming consumption and response reuse for model outputs?▼

Agenty supports asynchronous streaming consumption for real-time data processing and response reuse within a request family. This optimizes token usage and reduces redundant model calls.

What's the best way to index a knowledge base and generate embeddings in Agenty?▼

Knowledge base indexing and retrieval in Agenty provides in-depth information access using embedding functionalities. This enhances model input with relevant context retrieved from structured knowledge stores.

Do I need Python and Agenty's model interfaces to use request orchestration skills?▼

Request orchestration and data manipulation in Agenty applications requires Python and Agenty's model interfaces. These dependencies provide the foundational environment for configuring request-side behaviors.

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