Lightweight multi-provider LLM SDK with streaming and tools
Project description
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:
License
MIT
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