返回资讯中心
外部精选
软件工程
#开发者实时流

Bubbuild/republic: A Python library for AI providers

One Python interface for chat, streaming, tool calls, and structured output across AI providers. Republic stops at providers; agent loops, tool execution, and gateways stay in your code.

Hacker News 最新l2dy2026/11/1 · 今天4 分钟阅读

以下正文同步自 Hacker News 最新,版权归原站所有,已转换为易读排版。

One Python interface for chat, streaming, tool calls, and structured output across AI providers. Republic stops at providers; agent loops, tool execution, and gateways stay in your code.

python -m pip install republic export REPUBLIC_OPENAI_API_KEY="your-api-key"

import asyncio

import republic from republic.events import TextDelta

async def main(): model = republic.get_model("openai:gpt-6-sol")

response = await model.chat("Explain a tool call in one sentence.") print(response.text)

async with model.stream("Explain how an agent uses a tool result.") as stream: async for event in stream: if isinstance(event, TextDelta): print(event.chunk, end="", flush=True)

asyncio.run(main())

A model is named provider:model. Switch services by changing the name, such as anthropic:MODEL_ID, google:MODEL_ID, or deepseek:MODEL_ID; each reads its key from REPUBLIC_<PROVIDER>_API_KEY. See the provider directory for every supported service.

Quickstart: a first request and a streaming response.

Providers: services, formats, and credentials.

Authentication: API keys, CLI logins, and OAuth.

Guides: tool use, a minimal agent, and structured output.

Reference: configuration and the provider API, including media input, embeddings, image generation, decision models, history, and custom providers.

Optional async middleware sees and rewrites the events of every call: retries, stream events and the final response.

Development

uv sync make check make test make build

See Contributing for the development workflow.

正文由 探How 从来源站点 RSS 同步,内容未经改写;遇到排版缺失或需要图片、视频时请以原文为准。

打开原文
去社区讨论 →