dobby-sdk 0.2.3

Lightweight multi-provider LLM SDK with streaming and tools

Dobby SDK

Lightweight multi-provider LLM SDK with streaming and tool support.

Installation

pip install dobby-sdk

# Or from GitHub
pip install git+https://github.com/TYNYBAY/dobby-sdk.git

# With uv
uv add dobby-sdk

Quick Start

from dobby import AgentExecutor, OpenAIProvider
from dobby.types import UserMessagePart, TextPart, TextDeltaEvent

provider = OpenAIProvider(model="gpt-4o", api_key="sk-...")
executor = AgentExecutor(provider="openai", llm=provider)

messages = [UserMessagePart(parts=[TextPart(text="Hello!")])]

async for event in executor.run_stream(messages):
    match event:
        case TextDeltaEvent(delta=delta):
            print(delta, end="")

Features

• Multi-provider: OpenAI, Azure OpenAI, Anthropic
• Streaming: Real-time token streaming with typed events
• Tools: Dataclass-based tools with auto-generated schemas
• Context injection: Pass runtime context to tools via Injected[T]
• Structured output: Pydantic model validation for agent responses

Documentation

See docs/ for detailed documentation:

• Getting Started
• Message Types
• Providers
• Tools
• AgentExecutor
• Vector Stores
• Retrievers

License

MIT