Structured Output
Showing 9 of 9 projects
A Python library that provides reliable, validated JSON outputs from any LLM using Pydantic models.
An Elixir package providing a unified Req-based interface to query 18+ LLM APIs with standardized requests and responses.
A Go SDK for AI applications providing a unified API across 22+ providers with streaming, structured output, and MCP support.
A Ruby library for intuitively combining code, prompts, and completions to instruct LLMs with a flexible middleware stack.
A comprehensive Go library for building AI agents and applications with unified multi-provider LLM support, tool calling, streaming, and cost tracking.
A production-ready Go framework for building type-safe AI agents with structured output, multi-provider streaming, guardrails, and multi-agent orchestration.
A Java implementation of the Genkit framework for building observable, traceable AI-powered applications with multi-model support.
A Java implementation of the Genkit framework for building observable, AI-powered applications with multi-model support.
A Python SDK for programmatically interacting with Gemini CLI, designed to be API-compatible with the Claude Code SDK.
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