motosan-ai 0.8.2

Python SDK for Anthropic, OpenAI, MiniMax, Gemini, and Ollama AI providers

motosan-ai (Python SDK)

Multi-provider Python SDK for Anthropic, OpenAI, MiniMax, and Ollama. All HTTP providers use httpx directly — no official provider SDKs required. Also includes a ClaudeCodeClient backend that shells out to local claude CLI.

Installation

pip install motosan-ai
pip install "motosan-ai[anthropic]"
pip install "motosan-ai[openai]"
pip install "motosan-ai[minimax]"
pip install "motosan-ai[ollama]"
pip install "motosan-ai[full]"

Quick Start

import asyncio

from motosan_ai import Client


async def main() -> None:
    client = Client.anthropic(api_key="sk-ant-...", model="claude-sonnet-4-6")
    response = await client.chat([
        {"role": "user", "content": "Hello"},
    ])
    print(response.content)


asyncio.run(main())

Tool Use (Multi-turn)

import asyncio

from motosan_ai import Client, Message, Tool


def get_weather(city: str) -> str:
    return f"Sunny in {city}"


async def main() -> None:
    client = Client.anthropic(api_key="sk-ant-...")

    tools = [
        Tool(
            name="get_weather",
            description="Get current weather",
            input_schema={
                "type": "object",
                "properties": {"city": {"type": "string"}},
                "required": ["city"],
            },
        )
    ]

    messages = [Message.user("What's the weather in Tokyo?")]
    response = await client.chat(messages, tools=tools)

    if response.tool_calls:
        tc = response.tool_calls[0]
        result = get_weather(tc.input["city"])

        messages += [
            Message.assistant_with_tool_calls("", response.tool_calls),
            Message.tool_result(tc.id, result),
        ]
        final = await client.chat(messages, tools=tools)
        print(final.content)


asyncio.run(main())

Streaming

import asyncio

from motosan_ai import Client, Message


async def main() -> None:
    client = Client.openai(api_key="sk-...", model="gpt-4o")

    async for event in client.stream([Message.user("Write a haiku about rain")]):
        if event.content:
            print(event.content, end="")
        if event.done:
            break


asyncio.run(main())

Retry

All API calls automatically retry on transient errors (429 rate limit, 5xx server errors, network timeouts). Default: 3 retries with exponential backoff (100ms, 200ms, 400ms).

# Default: 3 retries
client = Client.anthropic(api_key="...")

# Disable retry
client = Client.anthropic(api_key="...", max_retries=0)

# Custom retry count
client = Client.anthropic(api_key="...", max_retries=5)

Respects Retry-After header when present.

Sync Wrapper

from motosan_ai import Client, Message

client = Client.minimax(api_key="...")
response = client.chat_sync([Message.user("Hello from sync")])
print(response.content)

Providers

Anthropic

from motosan_ai import Client

client = Client.anthropic(api_key="sk-ant-...", model="claude-sonnet-4-6")

OpenAI

from motosan_ai import Client

client = Client.openai(api_key="sk-...", model="gpt-4o")

MiniMax

from motosan_ai import Client

client = Client.minimax(api_key="...", model="MiniMax-M1")

Ollama

from motosan_ai import Client

# OpenAI-compatible mode (default)
client = Client.ollama(model="llama3.2")

# Native Ollama API mode (supports think/keep_alive/num_ctx)
client = Client.ollama(model="llama3.2", native=True, think=True)

Claude Code CLI Backend

from motosan_ai import ChatRequest, ClaudeCodeClient, Message

client = ClaudeCodeClient().model("sonnet")

response = await client.chat(
    ChatRequest(messages=[Message.user("Hello from claude CLI")])
)
print(response.content)

async for event in client.stream(
    ChatRequest(messages=[Message.user("Stream a short poem")])
):
    if event.content:
        print(event.content, end="")
    if event.done:
        break

Notes:

• Uses CLAUDE_CODE_PATH env var or claude in PATH
• tool_calls is always empty (tools run inside CLI)
• agent_mode(True) enables --dangerously-skip-permissions + JSON output parsing

Anthropic Auth Matrix

• sk-ant-api* or regular Anthropic API key → x-api-key header
• sk-ant-oat01* OAuth token → OAuth mode:
  • Authorization: Bearer <token> header (via httpx directly)
  • anthropic-beta: claude-code-20250219,oauth-2025-04-20,... headers
  • user-agent: claude-code/<version> + x-app: cli identity headers
  • System prompt sent as array of blocks (prefix + user system)
  • Claude Code system prompt prefix auto-injected
  • chat() auto-redirects to stream() and collects result (including tool_calls)

The SDK auto-detects token type by prefix — pass either into Client.anthropic(api_key=...).

from motosan_ai import Client

# Standard API key
client = Client.anthropic(api_key="sk-ant-api03-...")

# OAuth token (auto-detected, same interface)
client = Client.anthropic(api_key="sk-ant-oat01-...")

HTTP Client

All providers use httpx directly — no official provider SDKs (anthropic, openai) required. This keeps the dependency tree minimal and gives full control over auth, headers, and SSE parsing.

Requirements

• Python 3.11+
• One provider API key:
  • ANTHROPIC_API_KEY (standard API key or OAuth token)
  • OPENAI_API_KEY
  • MINIMAX_API_KEY
  • Ollama: no key needed (local)

Testing

# Unit tests (mock, no API needed)
uv run pytest sdks/python/tests/ -q --ignore=sdks/python/tests/integration/

# Live integration tests (requires ANTHROPIC_API_KEY)
ANTHROPIC_API_KEY=... uv run pytest sdks/python/tests/integration/test_anthropic_live.py -v

Publishing

Automated via publish-python.yml on python-v* tag push → PyPI.

# Tag and push to trigger publish
git tag -a python-vX.Y.Z -m "python-vX.Y.Z — summary"
git push origin python-vX.Y.Z

# Manual (emergency)
uv build --out-dir dist && uv publish dist/*

Rust and Python SDKs are versioned independently.

Development

uv sync --extra full --extra dev
uv run ruff check motosan_ai/
uv run pytest -q

For AI Agents

If you're an AI coding assistant, fetch llms.txt for a quick-start guide with API examples, tool use patterns, and streaming setup.