Anthropic

Memori supports all Anthropic Claude models. Register your client once and every conversation is automatically captured and stored. Note: max_tokens is required for all Anthropic API calls.

Want a zero-setup option? The Memori Cloud at app.memorilabs.ai.

Quick Start

Anthropic Integration

from anthropic import Anthropic
from memori import Memori
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker

engine = create_engine("sqlite:///memori.db")
SessionLocal = sessionmaker(bind=engine)

client = Anthropic()
mem = Memori(conn=SessionLocal).llm.register(client)
mem.config.storage.build()
mem.attribution(entity_id="user_123", process_id="claude_assistant")

response = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.content[0].text)

Supported Modes

Mode	Method
Sync	`client.messages.create()`
Async	`await client.messages.create()`
Streamed	`client.messages.stream()`

System Prompts

Anthropic supports a top-level system parameter separate from the messages array. Memori captures both.

response = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    system="You are a helpful coding assistant.",
    messages=[{"role": "user", "content": "Explain Python decorators."}]
)
print(response.content[0].text)