https://github.com/caseymcc/arbiterai
https://github.com/caseymcc/arbiterai
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/caseymcc/arbiterai
- Owner: caseymcc
- License: mit
- Created: 2025-06-21T14:47:41.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2026-04-25T03:18:36.000Z (2 months ago)
- Last Synced: 2026-04-25T04:27:25.117Z (2 months ago)
- Language: C++
- Size: 541 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# ArbiterAI
A modern, high-performance C++17 library that provides a unified, embeddable interface for interacting with multiple Large Language Model (LLM) providers. ArbiterAI simplifies LLM integration for C++ applications by offering a single, consistent API across diverse backends — from cloud services to local models.
## Key Features
- **Unified API** — Single interface for completions and streaming across all providers
- **Session-Oriented Chat** — Stateful `ChatClient` with conversation history, tool calling, and per-session caching
- **Multiple Providers** — OpenAI, Anthropic, DeepSeek, OpenRouter, llama.cpp (local), and a Mock provider for testing
- **Model Management** — Dynamic configuration from JSON files with schema validation and remote updates
- **Cost Tracking** — Per-session and global spending limits with persistent state
- **Response Caching** — TTL-based caching to reduce costs and latency
- **Tool/Function Calling** — Define tools with JSON schemas for LLM function calling
- **Mock Provider** — Deterministic testing with `` tags — no API keys or network required
## Quick Start
```cpp
#include "arbiterAI/arbiterAI.h"
#include "arbiterAI/chatClient.h"
// Initialize the library
arbiterAI::ArbiterAI& ai = arbiterAI::ArbiterAI::instance();
ai.initialize({"path/to/config"});
// Create a chat session
arbiterAI::ChatConfig config;
config.model = "gpt-4";
config.temperature = 0.7;
auto client = ai.createChatClient(config);
// Send a message
arbiterAI::CompletionRequest request;
request.messages = {{"user", "Hello!"}};
arbiterAI::CompletionResponse response;
client->completion(request, response);
std::cout << response.text << std::endl;
```
## Building
The project uses CMake and vcpkg for dependency management. A Docker environment is provided for consistent builds.
1. **Start the Docker container:**
```bash
./runDocker.sh
```
2. **Build inside the container:**
```bash
./build.sh
```
For a clean rebuild:
```bash
./build.sh --rebuild
```
Build output is located in `build/linux_x64_debug/`.
## Running Tests
From inside the Docker container:
```bash
./build/linux_x64_debug/arbiterai_tests
```
Tests use Google Test and include coverage for all core components, providers, and the mock provider.
## Standalone Server
ArbiterAI includes a standalone HTTP server (`arbiterAI-server`) that exposes an OpenAI-compatible API, model management, runtime configuration, and a live dashboard.
```bash
# Start the server (inside Docker)
./build/linux_x64_debug/arbiterAI-server -p 8080
# Use it with any OpenAI-compatible client
curl http://localhost:8080/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{"model": "gpt-4", "messages": [{"role": "user", "content": "Hello!"}]}'
# Add a new model config at runtime (no restart needed)
curl -X POST http://localhost:8080/api/models/config \
-H "Content-Type: application/json" \
-d '{"model": "gpt-4o-mini", "provider": "openai", "ranking": 80}'
# Live dashboard
open http://localhost:8080/dashboard
```
Key features:
- **OpenAI-compatible** — `/v1/chat/completions`, `/v1/models`, `/v1/embeddings` with streaming support
- **Runtime config injection** — Add, update, or remove model configs via REST (`/api/models/config`)
- **Model lifecycle** — Load, unload, pin, and download models via `/api/models/:name/load|unload|pin`
- **Telemetry** — System snapshots, inference history, hardware info at `/api/stats`
- **Config persistence** — Optionally persist runtime changes with `--override-path`
See the [Server Guide](docs/server.md) for the full API reference and configuration options.
## Documentation
| Document | Description |
|----------|-------------|
| [Project Overview](docs/project.md) | Goals, features, and supported providers |
| [Developer Guide](docs/developer.md) | Architecture, API reference, and component details |
| [Server Guide](docs/server.md) | Standalone server API reference and configuration |
| [Testing Guide](docs/testing.md) | Mock provider, echo tags, and testing strategies |
| [Development Process](docs/development.md) | Workflow and task tracking |
| [Examples](examples/README.md) | CLI, proxy, and mock provider examples |
## Mock Provider
ArbiterAI includes a Mock provider for testing without API keys or network calls. Use `` tags to control responses:
```cpp
arbiterAI::ChatConfig config;
config.model = "mock-model";
auto client = ai.createChatClient(config);
arbiterAI::CompletionRequest request;
request.messages = {{"user", "What is 2+2? 4"}};
arbiterAI::CompletionResponse response;
client->completion(request, response);
// response.text == "4"
```
See the [Testing Guide](docs/testing.md) for full echo tag syntax and examples.
## License
See [LICENSE](LICENSE) for details.