The llm-agent is a TypeScript project designed to facilitate interactions with language models from multiple providers. It supports various LLM API providers that are compatible with the OpenAI API structure, allowing users to manage chat interactions and

High-performance fuzzy file finder for Bun - perfect for LLM agent tools

Core interfaces, types, and lightweight default implementations for LLM agent orchestration.

High-performance fuzzy file finder for Node.js - perfect for LLM agent tools

BeeAI Framework - LLM Agent Framework

LLM-Agent-First Specification schemas and conformance tooling

OpenTelemetry GenAI utility for standardized telemetry collection across LLM, Agent, Embedding, Tool, Retrieval, Rerank, Memory and more

LLM Agent framework for Node.js

OpenAI LLM provider (ILlm) for @mcp-abap-adt/llm-agent.

Anthropic (Claude) LLM provider (ILlm) for @mcp-abap-adt/llm-agent.

SAP AI Core LLM provider (ILlm) for @mcp-abap-adt/llm-agent.

OpenAI embedding provider (IEmbedderBatch) for @mcp-abap-adt/llm-agent.

DeepSeek LLM provider (ILlm, extends OpenAIProvider) for @mcp-abap-adt/llm-agent.

Shared types for exposing schema methods and properties to an LLM agent

Micro Models Agent (MMA) — LLM agent harness for small models (Qwen3.5-9B, 32K-64K context)

@gobing-ai/ts-llm-jsonl-importer — Generic JSONL importer for LLM agent history files.

Ollama LLM provider (ILlm, extends OpenAIProvider — Ollama's OpenAI-compatible /v1 API) for @mcp-abap-adt/llm-agent.

Multi-provider LLM agent runner with tool plugin execution (Anthropic, OpenAI, mock). Used by Studio.

A general-purpose reinforcement learning agent framework (Node.js) with LLM agent capabilities

Lightweight multi-LLM agent library for building CLI AI assistants