skills.rest
Qredence
QredenceOFFICIAL
Explore all skills by this author →
Website𝕏@agenticfleetGitHub

dspy-agent-framework-quick-ref

Reference DSPy and Agent Framework integration patterns with typed signatures and handoffs.

108|10|Updated Dec 29, 2024
Search Tags:#handoffs#dspy#reference-guide#agent-framework#routing-cache#typed-signatures
One-click install
npx skills add https://github.com/Qredence/agentic-fleet --skill dspy-agent-framework-quick-ref
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dspy-agent-framework-quick-ref
Source: https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/skills/dspy-agent-framework-quick-ref
Command: npx skills add https://github.com/Qredence/agentic-fleet --skill dspy-agent-framework-quick-ref

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a concise reference for DSPy and Agent Framework integration patterns.

Core Features & Use Cases

  • Typed Signatures: examples of input/output models and how to define routing decisions.
  • DSPy Assertions and routing cache usage: guidance on validations and caching patterns.
  • Agent Handoffs and workflows: patterns to pass context between agents and checkpoints.
  • Quick reference for common imports and integration patterns: ready-to-copy snippets for rapid adoption.

Quick Start

Review the typed signatures, routing decisions, and handoff examples to quickly scaffold a DSPy–Agent Framework integration in your project. Then adapt the patterns to your domain tasks and wire them into your orchestration flow.

Frequently Asked Questions about dspy-agent-framework-quick-ref

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

FAQPage Schema
How do I define typed signatures for routing decisions in a DSPy multi-agent system?▼

Typed signatures in DSPy multi-agent systems define input and output models to establish routing decisions. You specify structured models for agent inputs and outputs to programmatically control how tasks route between agents.

What is the best way to pass context and checkpoints between agents during handoffs?▼

The best way to pass context during agent handoffs is using structured workflow patterns that transfer state between agents. You establish checkpoints to preserve conversation context and ensure seamless orchestration across multi-agent systems.

How do DSPy assertions and routing cache work for validating agent outputs?▼

DSPy assertions validate agent outputs by enforcing constraints on generated responses. The routing cache stores these validated routing decisions, reducing redundant computations and ensuring consistent agent behavior across repeated workflows.

Can I use DSPy with existing agent frameworks for multi-agent orchestration?▼

Yes, you can integrate DSPy with agent frameworks for multi-agent orchestration. The integration provides ready-to-copy snippets for common imports and patterns, allowing you to wire DSPy components into your existing orchestration flow.

What are the limitations of using routing cache in DSPy agent workflows?▼

Routing cache limitations in DSPy workflows include potential stale context when agent inputs change dynamically. If your domain tasks require frequent context updates, cached routing decisions may not reflect the most recent state during handoffs.

Related Skills

Explore More Software Engineering Skills→
jadeclijadecli
1

ax-signature

Generate typed DSPy signatures for APIs, functions, and data pipelines.

Official
Advanced
cryptopaficryptopafi

five-steps-agents

Design multi-agent architectures with boundaries, error handling, and model routing.

Community
Advanced
QredenceQredence
108

dspy-agent-framework-integration

Integrate DSPy with the Microsoft Agent Framework for typed signatures and orchestration.

Official
Advanced
michaelvolzmichaelvolz

dspy-ruby

Builds type-safe LLM apps in Ruby with DSPy.rb structured signatures.

Community
Advanced