# Owlen LLM Core

The core abstraction layer for Large Language Model (LLM) providers in the Owlen AI agent.

## Overview
This crate defines the common traits and types used to integrate various AI providers. It enables the agent to be model-agnostic and switch between different backends at runtime.

## Key Components
- `LlmProvider` Trait: The primary interface that all provider implementations (Anthropic, OpenAI, Ollama) must satisfy.
- `ChatMessage`: Unified message structure for conversation history.
- `StreamChunk`: Standardized format for streaming LLM responses.
- `ToolCall`: Abstraction for tool invocation requests from the model.
- `TokenCounter`: Utilities for estimating token usage and managing context windows.

## Supported Providers
- **Anthropic:** Integration with Claude 3.5 models.
- **OpenAI:** Integration with GPT-4o models.
- **Ollama:** Support for local models (e.g., Llama 3, Qwen).