assistant-ui-sync-server-api 0.1.1

Python client for Assistant UI sync server API

Assistant UI Sync Server API

A Python client library for interacting with Assistant UI sync server backends, providing the same API structure as the JavaScript/TypeScript useChatRuntime.

Installation

pip install assistant-ui-sync-server-api

Or using uv:

uv add assistant-ui-sync-server-api

Usage

Basic Example

import asyncio
from assistant_ui import AssistantClient

# Create a client
client = AssistantClient(base_url="https://api.example.com")

# Create messages
messages = [
    {
        "role": "user",
        "content": [{"type": "text", "text": "Hello, how are you?"}]
    }
]

# Send a chat request to a specific thread
async def main():
    thread = client.threads("thread-123")
    response = await thread.chat(
        messages=messages,
        system="You are a helpful assistant."
    )
    print(response.json())
    await client.close()

asyncio.run(main())

Using Context Managers

# Async context manager
async with AssistantClient(base_url="https://api.example.com") as client:
    thread = client.threads("thread-123")
    response = await thread.chat(messages=messages)

# Sync context manager
with AssistantClient(base_url="https://api.example.com") as client:
    thread = client.threads("thread-123")
    response = thread.chat_sync(messages=messages)

Authentication

# Static headers
client = AssistantClient(
    base_url="https://api.example.com",
    headers={"Authorization": "Bearer your-token"}
)

# Dynamic headers (async)
async def get_auth_headers():
    token = await fetch_token()
    return {"Authorization": f"Bearer {token}"}

client = AssistantClient(
    base_url="https://api.example.com",
    headers=get_auth_headers
)

Using Tools

tools = {
    "get_weather": {
        "description": "Get the current weather for a location",
        "parameters": {
            "type": "object",
            "properties": {
                "location": {"type": "string"},
                "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}
            },
            "required": ["location"]
        }
    }
}

thread = client.threads("thread-123")
response = await thread.chat(
    messages=messages,
    tools=tools
)

Canceling Operations

thread = client.threads("thread-123")

# Start a long-running chat
chat_task = asyncio.create_task(thread.chat(messages=messages))

# Cancel it
await thread.cancel()
chat_task.cancel()

Message Types

The package supports various message types matching the Assistant UI format:

from assistant_ui.types import Message

# Text message
text_message: Message = {
    "role": "user",
    "content": [{"type": "text", "text": "Hello!"}]
}

# Image message
image_message: Message = {
    "role": "user",
    "content": [
        {"type": "text", "text": "What's in this image?"},
        {"type": "image", "image": "https://example.com/image.jpg"}
    ]
}

# File message
file_message: Message = {
    "role": "user",
    "content": [
        {"type": "file", "data": "https://example.com/file.pdf", "mimeType": "application/pdf"}
    ]
}

# Assistant message with tool calls
assistant_message: Message = {
    "role": "assistant",
    "content": [
        {"type": "text", "text": "I'll help you with that."},
        {
            "type": "tool-call",
            "toolCallId": "call-123",
            "toolName": "get_weather",
            "args": {"location": "San Francisco"}
        }
    ]
}

# Tool result message
tool_message: Message = {
    "role": "tool",
    "content": [
        {
            "type": "tool-result",
            "toolCallId": "call-123",
            "toolName": "get_weather",
            "result": {"temperature": 72, "condition": "sunny"},
            "isError": False
        }
    ]
}

API Reference

AssistantClient

Main client for interacting with Assistant UI backends.

Constructor:

AssistantClient(
    base_url: str,
    headers: Optional[Dict[str, str] | Callable] = None,
    timeout: Optional[float] = None,
    **kwargs
)

Methods:

• threads(thread_id: str) -> ThreadClient: Get a ThreadClient for a specific thread
• close(): Close the async client
• close_sync(): Close the sync client

ThreadClient

Client for interacting with a specific thread.

Methods:

• chat(messages, system=None, tools=None, **kwargs): Send an async chat request
• chat_sync(messages, system=None, tools=None, **kwargs): Send a sync chat request
• cancel(): Cancel the current async operation
• cancel_sync(): Cancel the current sync operation

Type Definitions

The package includes TypedDict definitions for all message types and configuration options, providing full type hints for better IDE support and type checking.

Development

This package is part of the Assistant UI monorepo. To contribute:

1. Clone the main repository
2. Navigate to python/assistant-ui
3. Install dependencies with uv sync
4. Run tests with uv run pytest