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effect-ai-language-model

Generate type-safe text, streamed responses, and schema-validated outputs from Effect AI LanguageModel.

22|1|Updated Apr 14, 2026
Search Tags:#tool calling#streaming#schema validation#structured output#Effect-TS#language model
One-click install
npx skills add https://github.com/mpsuesser/pi-effect-harness --skill effect-ai-language-model-mpsuesser
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: effect-ai-language-model
Source: https://github.com/mpsuesser/pi-effect-harness/tree/main/harnesses/effect/skills/effect-ai-language-model
Command: npx skills add https://github.com/mpsuesser/pi-effect-harness --skill effect-ai-language-model-mpsuesser

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Effect AI LanguageModel skills remove the friction of writing LLM integrations by giving a consistent, type-safe way to generate text, stream responses, validate structured output, and coordinate tool calling.

Core Features & Use Cases

  • Text generation: Produce completions from prompts (optionally with conversation history).
  • Structured output: Force schema-validated results using Effect's Schema support.
  • Streaming: Handle incremental output via Stream parts for real-time UIs.
  • Tool calling: Integrate with Toolkits to let models request tool invocations and consume tool results.
  • Error handling: Catch and branch on AiError tags instead of ad-hoc promise handling.

Quick Start

Use this skill to generate structured JSON by calling LanguageModel.generateObject with your Schema and a clear prompt describing the data you want extracted.

Frequently Asked Questions about effect-ai-language-model

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

FAQPage Schema
How do I generate structured output from an LLM using Effect-TS?▼

You generate structured output by calling LanguageModel.generateObject with an Effect Schema, which enforces schema validation and returns type-safe, predictable JSON objects.

Can I stream text responses with the Effect AI LanguageModel service?▼

Yes, you can stream text responses using LanguageModel.streamText, processing incremental output via StreamPart objects to support real-time UI updates and chat-style interactions.

How does tool calling work in Effect-TS language model workflows?▼

Tool calling in Effect-TS integrates with Toolkits to let models request tool invocations and consume tool results, allowing the language model to execute external functions during multi-turn prompting.

What is the best way to handle AI errors in Effect-TS instead of ad-hoc promises?▼

The best way to handle AI errors in Effect-TS is using robust AiError-based error handling, which allows you to catch and branch on specific AiError tags instead of relying on ad-hoc promise handling.

Does schema validation support truncation handling for extracted data?▼

Yes, schema validation supports extraction and transform tasks that require predictable shapes and truncation handling, ensuring generated objects conform to your defined Schema constraints.

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