SDKs & Libraries

from hebbrix import Hebbrix

# Initialize (uses HEBBRIX_API_KEY env var)
client = Hebbrix()

# Create a memory
memory = client.memories.create(
    content="User prefers dark mode",
    tags=["preferences"]
)

# Search memories
results = client.search("user preferences")

# Chat with memory
response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "What do I prefer?"}]
)

# Using pip
pip install hebbrix

# Using poetry
poetry add hebbrix

# Using pipenv
pipenv install hebbrix

import asyncio
from hebbrix import AsyncHebbrix

async def main():
    client = AsyncHebbrix()

    # Async operations
    memory = await client.memories.create(content="Test")
    results = await client.search("query")

    # Parallel requests
    data = await asyncio.gather(
        client.memories.get("mem_abc"),
        client.search("preferences")
    )

asyncio.run(main())

from hebbrix import Hebbrix
from hebbrix.exceptions import (
    HebbrixError, AuthenticationError,
    RateLimitError, ValidationError
)

client = Hebbrix()

try:
    memory = client.memories.create(content="Test")
except AuthenticationError:
    print("Invalid API key")
except RateLimitError as e:
    print(f"Retry after {e.retry_after}s")
except HebbrixError as e:
    print(f"Error: {e.status_code}")

from hebbrix import Hebbrix

client = Hebbrix(
    api_key="mem_sk_...",
    base_url="https://api.your-domain.com",
    timeout=30.0,
    max_retries=3
)

from openai import OpenAI

# Drop-in replacement for OpenAI
client = OpenAI(
    api_key="mem_sk_your_hebbrix_key",
    base_url="https://api.hebbrix.com/v1"
)

response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Hello!"}]
)
# Automatic memory injection!