ai-agent-patterns

A set of project rules for building AI agents in a Laravel application using the Laravel AI SDK and Ollama, a tool that runs AI models locally. It covers agent classes, routing, tests, streaming responses, conversation memory, and response formats.

In plain words
What is it for?
Use it when creating or changing agent classes, agent routing, prompt tests, server-sent event streaming, conversation links, model settings, or article-application response blocks.
Why use it?
It keeps new or changed AI-agent code consistent with the project's existing structure and local model setup. It also clarifies how to test agent prompts and handle common response flows.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/abilenduke/copilot-developer/ai-agent-patterns
Any agent
npx skills add ABilenduke/copilot-developer --skill ai-agent-patterns
Clone the repo
git clone --depth 1 https://github.com/ABilenduke/copilot-developer

Made for: Claude Code, Codex.

Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,411 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00083 $0.03411
Opus 5 $0.00042 $0.01706
Sonnet 5 $0.00017 $0.00682
Haiku 4.5 $0.00008 $0.00341

Measured yesterday against content hash 4443721bf3dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ai-agent-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/ai-agent-patterns/SKILL.md · 342 lines

How it starts

The opening of the file, as written. The whole thing — 342 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Agent Patterns

When to Apply

  • Creating a new agent class in app/Ai/Agents/
  • Modifying AgentResolver action or prompt mappings
  • Writing tests for agents (::fake(), ::assertPrompted())
  • Working with SSE streaming in AdminArticleAiController
  • Adding or changing apply block formats (:::apply-body, :::apply-excerpt)
  • Debugging agent responses, conversation linking, or temperature behavior

Documentation

Use search-docs for detailed Laravel AI SDK documentation before making changes.

Agent Anatomy

Every agent implements Agent & Conversational (intersection type), uses three traits, and is configured via PHP attributes. All agents run on Ollama (Docker service), not OpenAI.

use App\Ai\Agents\Concerns\HasArticleContext; use Laravel\Ai\Attributes\MaxTokens; use Laravel\Ai\Attributes\Model; use Laravel\Ai\Attributes\Temperature; use Laravel\Ai\Attributes\Timeout; use Laravel\Ai\Concerns\RemembersConversations; use Laravel\Ai\Contracts\Agent; use Laravel\Ai\Contracts\Conversational; use Stringable;

#[Model('llama3.2:3b')] // Ollama model — NOT OpenAI #[Temperature(0.6)] // 0.3 (precise) to 0.8 (creative) #[MaxTokens(4096)] // Fixed for all agents #[Timeout(120)] // Fixed for all agents class ArticleRefiner implements Agent, Conversational { use HasArticleContext, Promptable, RemembersConversations;

public function instructions(): Stringable|string
{
    return <<<INSTRUCTIONS
    You are an expert content editor...

    {$this->articleContextBlock()}
    {$this->applyBlockInstructions()}
    INSTRUCTIONS;
}

}

Temperature spectrum — choose based on the agent's task precision:

Temperature Agent Rationale
0.3 GrammarChecker Deterministic corrections, no creativity needed
0.4 Proofreader Slight variation in feedback phrasing
0.5 SeoOptimizer Balanced analysis with structured output
0.6 ArticleRefiner Creative improvement while preserving voice
0.8 ArticleGenerator Maximum creativity for original content

Read the full file on GitHub · 342 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 342 lines · 83 tokens per session scan A 4443721bf3dd

Subscribe to this mod's changes

ai-agent-patterns is a skill published in the GitHub repository ABilenduke/copilot-developer (4 stars, last pushed 6mo ago), licensed MIT. It adds 83 tokens to every session and 3,411 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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