nikitas-agents 0.1.0

Provider-agnostic wrappers around OpenAI and Mistral SDKs to power LLM-based agents in games or simulations.

nikitas-agents

Provider-agnostic wrappers around OpenAI and Mistral SDKs to power LLM-based agents in games or simulations.

Installation

This package is currently distributed straight from GitHub:

pip install git+https://github.com/NikitaDmitrieff/nikitas-agents.git

Quick Start

from nikitas_agents.agents import BaseAgent

agent = BaseAgent(
    name="Strategist",
    description="Keeps track of board state",
    provider="openai",
    model="gpt-4o-mini",
)

reply = agent.invoke("Give me one word hint.")
print(reply)

Set OPENAI_API_KEY or MISTRAL_API_KEY in your environment before invoking agents.

Features

• Multi-provider support: Works with both OpenAI and Mistral APIs
• Model validation: Ensures you're using supported models for each provider
• Environment-based configuration: Automatically loads API keys from environment variables
• Flexible prompting: Support for both system and user prompts with customizable parameters

Supported Providers and Models

OpenAI

• gpt-4o-mini
• gpt-4o
• gpt-4-turbo
• gpt-4
• gpt-3.5-turbo

Mistral

• mistral-small-latest
• mistral-medium-latest
• mistral-large-latest
• mistral-tiny
• open-mistral-7b
• open-mixtral-8x7b
• open-mixtral-8x22b

Usage

Basic Agent Creation

from nikitas_agents import BaseAgent

# Create an OpenAI agent
openai_agent = BaseAgent(
    name="Assistant",
    description="A helpful assistant",
    provider="openai",
    model="gpt-4o-mini"
)

# Create a Mistral agent
mistral_agent = BaseAgent(
    name="Strategist", 
    description="A strategic thinking agent",
    provider="mistral",
    model="mistral-small-latest"
)

Advanced Usage

response = agent.invoke(
    user_prompt="What's the best strategy for this situation?",
    system_prompt="You are an expert game strategist",
    temperature=0.7,
    max_output_tokens=512,
    timeout=30.0
)

Provider and Model Validation

from nikitas_agents import schema

# Check supported providers
providers = schema.supported_providers()
print(providers)  # {'openai', 'mistral'}

# Check supported models for a provider
models = schema.supported_models('openai')
print(models)  # {'gpt-4o-mini', 'gpt-4o', ...}

# Validate a provider/model combination
validated_model = schema.validate_model('openai', 'gpt-4o-mini')

Environment Setup

Create a .env file in your project root:

OPENAI_API_KEY=your_openai_api_key_here
MISTRAL_API_KEY=your_mistral_api_key_here

Or set environment variables directly:

export OPENAI_API_KEY="your_openai_api_key_here"
export MISTRAL_API_KEY="your_mistral_api_key_here"

Development

To contribute to this project:

1. Clone the repository
2. Install in development mode: pip install -e .
3. Run tests: python -m pytest tests/

License

MIT License - see LICENSE file for details.