heroku-langchain-aisdk

Heroku MIA SDK for Python

A Python SDK for Heroku's Managed Inference API (MIA), providing easy access to AI models through a LangChain-compatible interface.

🚀 Quick Start

Installation

pip install heroku-langchain-aisdk

Basic Usage

import os
from heroku_mia_sdk import HerokuMia

# Set your environment variables
os.environ["HEROKU_API_KEY"] = "your-api-key"
os.environ["INFERENCE_MODEL_ID"] = "claude-3-7-sonnet"
os.environ["INFERENCE_URL"] = "https://us.inference.heroku.com"

# Create client and send message
client = HerokuMia()
response = client.invoke("What is the capital of France?")
print(response.content)

📋 Features

• LangChain Compatible: Works seamlessly with LangChain ecosystem
• Streaming Support: Real-time response streaming
• Tool Calling: Function calling capabilities
• Async Support: Full async/await support
• Type Safe: Built with Pydantic for type safety

🔧 Configuration

Environment Variables

Variable	Description	Required
HEROKU_API_KEY	Your Heroku API key	Yes
INFERENCE_MODEL_ID	Model to use (e.g., claude-3-7-sonnet)	Yes
INFERENCE_URL	Inference endpoint URL	Yes

Getting Your API Key

• Log in to your Heroku account
• Navigate to Account Settings
• Generate an API key
• Use the format: inf-xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx

📖 Examples

Basic Chat

from heroku_mia_sdk import HerokuMia

client = HerokuMia()
response = client.invoke("Hello, how are you?")
print(response.content)

Streaming Chat

from heroku_mia_sdk import HerokuMia

client = HerokuMia()
for chunk in client.stream("Tell me a story"):
    print(chunk.content, end="", flush=True)

Chat with Tools

from heroku_mia_sdk import HerokuMia
from langchain_core.tools import tool

@tool
def get_weather(city: str) -> str:
    """Get weather for a city."""
    return f"The weather in {city} is sunny and 25°C"

client = HerokuMia()
client = client.bind_tools([get_weather])
response = client.invoke("What's the weather in Paris?")

Multiple Messages

from heroku_mia_sdk import HerokuMia
from langchain_core.messages import HumanMessage, SystemMessage

client = HerokuMia()
messages = [
    SystemMessage(content="You are a helpful assistant."),
    HumanMessage(content="What is Python?")
]
response = client.invoke(messages)
print(response.content)

🛠️ Development

Local Installation

git clone https://github.com/heroku/heroku-langchain-aisdk
cd heroku-langchain-aisdk/python
pip install -e .

Running Examples

# Set environment variables
export HEROKU_API_KEY="your-api-key"
export INFERENCE_MODEL_ID="claude-3-7-sonnet"
export INFERENCE_URL="https://us.inference.heroku.com"

# Run examples
python examples/example_chat_basic.py
python examples/example_chat_streaming.py
python examples/example_chat_tools.py

Development Dependencies

pip install -e ".[dev]"

📚 API Reference

HerokuMia Class

The main client class for interacting with Heroku's Managed Inference API.

Methods

• invoke(input) - Send a message and get response
• stream(input) - Stream response chunks
• bind_tools(tools) - Bind tools for function calling
• with_config(config) - Configure client settings

Parameters

• model_id (str): Model identifier
• api_key (str): Heroku API key
• base_url (str): API base URL
• temperature (float): Response randomness (0.0-1.0)
• max_tokens (int): Maximum response tokens

🤝 Contributing

• Fork the repository
• Create a feature branch
• Make your changes
• Add tests
• Submit a pull request

📄 License

MIT License - see LICENSE file for details.

🆘 Support

• GitHub Issues
• Heroku Support

🔗 Related

• Heroku Platform
• LangChain
• Heroku AI Documentation