Anthropic

Memori Cloud supports all Anthropic Claude models. The max_tokens parameter is required for all Anthropic API calls.

Quick Start

Anthropic Integration

from anthropic import Anthropic
from memori import Memori

client = Anthropic()

mem = Memori().llm.register(client)
mem.attribution(entity_id="user_123", process_id="claude_assistant")

response = client.messages.create(
    model="claude-sonnet-4-5-20250929",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.content[0].text)

Supported Modes

Mode	Python	TypeScript
Sync	`client.messages.create()`	—
Async	`await client.messages.create()`	`await client.messages.create()`
Streamed	`client.messages.stream()`	`stream: true` parameter

Additional Modes

Async (Python)

import asyncio
from anthropic import AsyncAnthropic
from memori import Memori

client = AsyncAnthropic()

mem = Memori().llm.register(client)
mem.attribution(entity_id="user_123", process_id="claude_assistant")

async def main():
    response = await client.messages.create(
        model="claude-sonnet-4-5-20250929",
        max_tokens=1024,
        messages=[{"role": "user", "content": "Hello!"}]
    )
    print(response.content[0].text)

asyncio.run(main())

Streaming

from anthropic import Anthropic
from memori import Memori

client = Anthropic()

mem = Memori().llm.register(client)
mem.attribution(entity_id="user_123", process_id="claude_assistant")

with client.messages.stream(
    model="claude-sonnet-4-5-20250929",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello!"}]
) as stream:
    for text in stream.text_stream:
        print(text, end="")

System Prompts

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

from anthropic import Anthropic
from memori import Memori

client = Anthropic()

mem = Memori().llm.register(client)
mem.attribution(entity_id="user_123", process_id="claude_assistant")

response = client.messages.create(
    model="claude-sonnet-4-5-20250929",
    max_tokens=1024,
    system="You are a helpful coding assistant.",
    messages=[
        {"role": "user", "content": "Explain Python decorators."}
    ]
)
print(response.content[0].text)

TypeScript

import Anthropic from '@anthropic-ai/sdk';
import { Memori } from '@memorilabs/memori';

const client = new Anthropic();

const mem = new Memori().llm.register(client);
mem.attribution('user_123', 'claude_assistant');

const response = await client.messages.create({
  model: 'claude-sonnet-4-5-20250929',
  max_tokens: 1024,
  system: 'You are a helpful coding assistant.',
  messages: [
    { role: 'user', content: 'Explain TypeScript generics.' },
  ],
});
console.log(response.content[0].text);